Triple

T17247630
Position Surface form Disambiguated ID Type / Status
Subject Little Voice E418667 entity
Predicate cinematographyBy P1953 FINISHED
Object Andy Collins E1026108 NE FINISHED

How this triple was built (2 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 Collins | Statement: [Little Voice, cinematographyBy, Andy Collins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Collins
Context triple: [Little Voice, cinematographyBy, Andy Collins]
  • A. Andy Collins chosen
    Andy Collins is a cinematographer best known for his work on the British film "Brassed Off."
  • B. Alan Collins
    Alan Collins was a British-born sculptor known for his modernist religious and commemorative works, including prominent public memorials in the United States and the United Kingdom.
  • C. Ray Collins
    Ray Collins was an American character actor best known for his roles in classic films and radio, including his appearance in Orson Welles’s landmark film "Citizen Kane."
  • D. Leo Collins
    Leo Collins is the devoted husband and central protagonist in the romantic drama film "The Vow," struggling to help his wife remember their life together after she loses her memory.
  • E. Mo Collins
    Mo Collins is an American actress and comedian best known for her sketch comedy work and memorable characters on the television series MADtv.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e24a4508190bbcc70c36b2b9c13 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019fdf81ec8190826e543be0db3628 completed May 11, 2026, 9:22 a.m.
Created at: April 10, 2026, 5:39 a.m.