Triple

T15541498

Position	Surface form	Disambiguated ID	Type / Status
Subject	Pete Czernin	`E370487`	entity
Predicate	notableAwardNomination	`P6104`	FINISHED
Object	Academy Award for Best Picture (as producer of The Banshees of Inisherin) The Academy Award for Best Picture (as producer of The Banshees of Inisherin) is the Oscar nomination recognizing the film’s producers for overseeing one of the year’s most outstanding feature films.	`E1163716`	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 (as producer of The Banshees of Inisherin) | Statement: [Pete Czernin, notableAwardNomination, Academy Award for Best Picture (as producer of The Banshees of Inisherin)]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Academy Award for Best Picture (as producer of The Banshees of Inisherin)
Context triple: [Pete Czernin, notableAwardNomination, Academy Award for Best Picture (as producer of The Banshees of Inisherin)]

A. 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.
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 (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.
D. 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.
E. 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.
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 (as producer of The Banshees of Inisherin)
Triple: [Pete Czernin, notableAwardNomination, Academy Award for Best Picture (as producer of The Banshees of Inisherin)]

Generated description

The Academy Award for Best Picture (as producer of The Banshees of Inisherin) is the Oscar nomination recognizing the film’s producers for overseeing one of the year’s most outstanding feature films.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Academy Award for Best Picture (as producer of The Banshees of Inisherin)
Target entity description: The Academy Award for Best Picture (as producer of The Banshees of Inisherin) is the Oscar nomination recognizing the film’s producers for overseeing one of the year’s most outstanding feature films.

A. 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.
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 (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.
D. 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.
E. 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.
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_69d85cc521a08190921fb50319dddc34`	completed	April 10, 2026, 2:13 a.m.
NER	Named-entity recognition	`batch_69e04432c3808190bb5b653bf8de30c6`	completed	April 16, 2026, 2:06 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69ff4556ad008190a411ccd3ef0d1e89`	completed	May 9, 2026, 2:31 p.m.
NEDg	Description generation	`batch_69ff47590f5c81908da35e6d85452eee`	completed	May 9, 2026, 2:40 p.m.
NED2	Entity disambiguation (via description)	`batch_69ff47d81e408190888b86f3f69ca76e`	completed	May 9, 2026, 2:42 p.m.

Created at: April 10, 2026, 4:07 a.m.