Triple

T5253057
Position Surface form Disambiguated ID Type / Status
Subject Pat Evison E118633 entity
Predicate name P16 FINISHED
Object Pat Evison E118633 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: Pat Evison | Statement: [Pat Evison, name, Pat Evison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pat Evison
Context triple: [Pat Evison, name, Pat Evison]
  • A. Pat Evison chosen
    Pat Evison was a New Zealand-born actress known for her character roles in Australasian film and television during the mid-20th century.
  • B. Ronald Neame
    Ronald Neame was a British film director, producer, and cinematographer known for works such as "The Poseidon Adventure" and collaborations with Alec Guinness.
  • C. Paul Cox
    Paul Cox was a Dutch-born Australian filmmaker renowned for his intimate, character-driven art-house films and his key role in the Australian New Wave cinema movement.
  • D. Gordon Douglas
    Gordon Douglas was an American film director known for his prolific work across genres in Hollywood from the 1930s through the 1970s.
  • E. Robert McLane
    Robert McLane was an American businessman best known as the founder of McLane Company, a major supply chain services and wholesale distribution firm.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b7cd7f4819098e591df07564a52 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe72c91c8190ab0f988dca420399 completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.