Triple

T7951721
Position Surface form Disambiguated ID Type / Status
Subject Life-Size E184629 entity
Predicate castMember P1668 FINISHED
Object Tom Butler E668114 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: Tom Butler | Statement: [Life-Size, castMember, Tom Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Butler
Context triple: [Life-Size, castMember, Tom Butler]
  • A. Tom Butler chosen
    Tom Butler is a Canadian actor known for his supporting roles in numerous film and television productions, including the thriller "Snakes on a Plane."
  • B. Peter Butler
    Peter Butler is an English football manager and former player known for coaching various national and club teams, including the Liberia national football team.
  • C. Hugh Butler
    Hugh Butler was a screenwriter known for his work on the mid-20th-century British film "Journey into Light."
  • D. Reg Butler
    Reg Butler was a British sculptor known for his expressive, often skeletal metal figures and his prominence in postwar European modernist sculpture.
  • E. Hubert Butler
    Hubert Butler was an Irish essayist, historian, and human rights advocate known for his writings on Irish identity, nationalism, and European affairs.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5c95908190b6ee900d2b324574 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0530b8881908e35b10917e69899 completed March 31, 2026, 2:55 p.m.
Created at: March 30, 2026, 5:10 p.m.