Triple

T1207858
Position Surface form Disambiguated ID Type / Status
Subject Proof (1991 film) E25929 entity
Predicate mainCharacter P1183 FINISHED
Object Andy
Andy is the central character in the 1991 Australian psychological drama film "Proof," around whom the story’s exploration of trust, perception, and relationships revolves.
 E157190 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: Andy | Statement: [Proof (1991 film), mainCharacter, Andy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andy
Context triple: [Proof (1991 film), mainCharacter, Andy]
  • A. Alan
    Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
  • B. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • C. Andrew
    Andrew is a subway station in South Boston on the Massachusetts Bay Transportation Authority's Red Line.
  • D. Danny
    Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
  • E. Sam
    Sam is a person whose given name is Sam.
  • 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: Andy
Triple: [Proof (1991 film), mainCharacter, Andy]
Generated description
Andy is the central character in the 1991 Australian psychological drama film "Proof," around whom the story’s exploration of trust, perception, and relationships revolves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andy
Target entity description: Andy is the central character in the 1991 Australian psychological drama film "Proof," around whom the story’s exploration of trust, perception, and relationships revolves.
  • A. Alan
    Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
  • B. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • C. Andrew
    Andrew is a subway station in South Boston on the Massachusetts Bay Transportation Authority's Red Line.
  • D. Danny
    Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
  • E. Sam
    Sam is a person whose given name is Sam.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc483b481908e5bfef5d2f4fc5a completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd46eefa48190baebc12fdf916941 completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd517cfec8190ba294bb890d0b4b1 completed March 8, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_69acd58946588190a5e92c62b585cdfc completed March 8, 2026, 1:48 a.m.
Created at: March 1, 2026, 7:46 p.m.