Triple

T12927854
Position Surface form Disambiguated ID Type / Status
Subject Marc Forster E309290 entity
Predicate nominatedFor P1791 FINISHED
Object Academy Award for Best Picture (Finding Neverland, as producer)
The Academy Award for Best Picture (Finding Neverland, as producer) is the Oscar nomination recognizing the film "Finding Neverland" as one of the year's outstanding motion pictures, specifically honoring its producers for their work on the film.
E1011110 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Academy Award for Best Picture (Finding Neverland, as producer) | Statement: [Marc Forster, nominatedFor, Academy Award for Best Picture (Finding Neverland, as producer)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Picture (Finding Neverland, as producer)
Context triple: [Marc Forster, nominatedFor, Academy Award for Best Picture (Finding Neverland, as producer)]
  • A. Academy Award for Best Picture (for Slumdog Millionaire, as co-producer)
    The Academy Award for Best Picture (for Slumdog Millionaire, as co-producer) is the Oscar recognizing the film "Slumdog Millionaire" as the year's outstanding motion picture, shared among its producing companies including Celador Films.
  • B. Academy Award for Best Picture for Juno (as producer)
    The Academy Award for Best Picture for *Juno* (as producer) is a nomination recognizing the film *Juno* as one of the year’s outstanding motion pictures, honoring its producers for overall excellence in filmmaking.
  • C. Academy Award for Best Picture (as co-writer of The Shape of Water, film winning)
    The Academy Award for Best Picture is the Oscars’ top honor, recognizing the overall excellence of a feature film and its producers.
  • D. Academy Award for Best Picture (as producer of Minari)
    The Academy Award for Best Picture (as producer of Minari) is the Oscar nomination recognizing the film "Minari" as one of the year's outstanding motion pictures, with Steven Yeun credited among its producers.
  • E. Academy Award for Best Picture (as co-director of Slumdog Millionaire, film’s win)
    The Academy Award for Best Picture is the film industry’s most prestigious Oscar, honoring the producers of the year’s outstanding feature film, in this case recognizing Slumdog Millionaire, which Loveleen Tandan co-directed.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Academy Award for Best Picture (Finding Neverland, as producer)
Triple: [Marc Forster, nominatedFor, Academy Award for Best Picture (Finding Neverland, as producer)]
Generated description
The Academy Award for Best Picture (Finding Neverland, as producer) is the Oscar nomination recognizing the film "Finding Neverland" as one of the year's outstanding motion pictures, specifically honoring its producers for their work on the film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Picture (Finding Neverland, as producer)
Target entity description: The Academy Award for Best Picture (Finding Neverland, as producer) is the Oscar nomination recognizing the film "Finding Neverland" as one of the year's outstanding motion pictures, specifically honoring its producers for their work on the film.
  • A. Academy Award for Best Picture (for Slumdog Millionaire, as co-producer)
    The Academy Award for Best Picture (for Slumdog Millionaire, as co-producer) is the Oscar recognizing the film "Slumdog Millionaire" as the year's outstanding motion picture, shared among its producing companies including Celador Films.
  • B. Academy Award for Best Picture for Juno (as producer)
    The Academy Award for Best Picture for *Juno* (as producer) is a nomination recognizing the film *Juno* as one of the year’s outstanding motion pictures, honoring its producers for overall excellence in filmmaking.
  • C. Academy Award for Best Picture (as co-writer of The Shape of Water, film winning)
    The Academy Award for Best Picture is the Oscars’ top honor, recognizing the overall excellence of a feature film and its producers.
  • D. Academy Award for Best Picture (as producer of Minari)
    The Academy Award for Best Picture (as producer of Minari) is the Oscar nomination recognizing the film "Minari" as one of the year's outstanding motion pictures, with Steven Yeun credited among its producers.
  • E. Academy Award for Best Picture (as co-director of Slumdog Millionaire, film’s win)
    The Academy Award for Best Picture is the film industry’s most prestigious Oscar, honoring the producers of the year’s outstanding feature film, in this case recognizing Slumdog Millionaire, which Loveleen Tandan co-directed.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971ec72a48190aceef10630603d2c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6655e88190ac33567870a947bb completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b0660b188190a67bfff73b882d92 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1aa191081908266128776a2147a completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:42 p.m.