Triple

T15487330
Position Surface form Disambiguated ID Type / Status
Subject Morgan Spector E377080 entity
Predicate notableWork P4 FINISHED
Object Christine
"Christine" is a 2016 biographical drama film in which Morgan Spector appears, depicting the life and tragic story of television news reporter Christine Chubbuck.
E375963 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: Christine | Statement: [Morgan Spector, notableWork, Christine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine
Context triple: [Morgan Spector, notableWork, Christine]
  • A. Christine
    Christine is the protagonist of H. P. Lovecraft’s novel "Love," around whom the story’s emotional and psychological developments revolve.
  • B. Christine
    Christine is a fictional character from the 1951 British drama film "Journey into Light."
  • C. Christine
    Christine is a rival character to Heed, likely portrayed as a competitive or antagonistic counterpart in their shared narrative.
  • D. Christine
    Christine is a central character in the 1973 mystery film "The Last of Sheila," around whom key elements of the movie’s intricate whodunit plot revolve.
  • E. Christine
    Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
  • 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: Christine
Triple: [Morgan Spector, notableWork, Christine]
Generated description
"Christine" is a 2016 biographical drama film in which Morgan Spector appears, depicting the life and tragic story of television news reporter Christine Chubbuck.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Christine
Target entity description: "Christine" is a 2016 biographical drama film in which Morgan Spector appears, depicting the life and tragic story of television news reporter Christine Chubbuck.
  • A. Christine chosen
    "Christine" is a 2016 biographical drama film starring Rebecca Hall as troubled 1970s news reporter Christine Chubbuck.
  • B. Christine
    Christine is a fictional character from the 1951 British drama film "Journey into Light."
  • C. Christine
    Christine is a central character in the 1973 mystery film "The Last of Sheila," around whom key elements of the movie’s intricate whodunit plot revolve.
  • D. Christine
    Christine is a fictional character played by Canadian actress Deborah Kara Unger, best known from her roles in psychological thrillers and horror films.
  • E. Christine
    Christine is a character from the Marvel Cinematic Universe film "Iron Man 3," where she appears as the clairvoyant antagonist manipulating events from behind the scenes.
  • F. None of above.

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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8f71a08190a440ff19dcc65312 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365b3980819094d3ca0b7766009c completed May 9, 2026, 1:27 p.m.
NEDg Description generation batch_69ff376dac388190ab3b7e3553d2de29 completed May 9, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff382f1bbc8190810d0d825430f9ea completed May 9, 2026, 1:35 p.m.
Created at: April 10, 2026, 3:48 a.m.