Triple

T21524409
Position Surface form Disambiguated ID Type / Status
Subject Proof (film) E531056 entity
Predicate mainCharacter P1183 FINISHED
Object Claire
Claire is the central character of the psychological thriller film "Proof," around whom the story’s emotional and narrative tensions revolve.
E1489280 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: Claire | Statement: [Proof (film), mainCharacter, Claire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire
Context triple: [Proof (film), mainCharacter, Claire]
  • A. Claire
    Claire is a fictional character named in the work "Lucky Lady," likely serving as one of its central figures.
  • B. Claire
    Claire is a feminine given name of French origin meaning "clear" or "bright," commonly used in English-speaking countries.
  • C. Claire
    Claire is the central protagonist of the film "Intimacy," around whom the story’s emotional and relational tensions revolve.
  • D. Claire
    Claire is a character from the family comedy film "World's Greatest Dad," which stars Robin Williams as a struggling writer and single father.
  • E. Claire
    Claire is a character from the children's book "Picture Day," likely depicted as a young student navigating the small dramas and excitement surrounding school picture day.
  • 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: Claire
Triple: [Proof (film), mainCharacter, Claire]
Generated description
Claire is the central character of the psychological thriller film "Proof," around whom the story’s emotional and narrative tensions revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Claire
Target entity description: Claire is the central character of the psychological thriller film "Proof," around whom the story’s emotional and narrative tensions revolve.
  • A. Claire
    Claire is the central protagonist of the film "Intimacy," around whom the story’s emotional and relational tensions revolve.
  • B. Claire
    Claire is the central protagonist of the 2015 film "Hidden," around whom the story’s suspenseful and psychological narrative unfolds.
  • C. Claire
    Claire is a central character in Lars von Trier's film "Melancholia," portrayed as the anxious, responsible sister struggling to hold her family together as a rogue planet threatens Earth.
  • D. Claire
    Claire is a sharp-tongued, alcoholic sister whose acerbic wit and emotional volatility provide both dark humor and tension in Edward Albee’s play "A Delicate Balance."
  • E. Claire
    Claire is one of the central protagonists in the Marvel One-Shot short film "Item 47," which follows an ordinary couple who find a Chitauri weapon after the Battle of New York and get drawn into unexpected trouble.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee884f4504819086bd632e62f02f58 completed April 26, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e828fd6c819080e6f4a35ad68207 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e909a4888190aa1d704eb157d86d completed May 17, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09ea119664819081b072c892fc0471 completed May 17, 2026, 4:17 p.m.
Created at: April 16, 2026, 6:26 p.m.