Triple

T5270025
Position Surface form Disambiguated ID Type / Status
Subject Paul Cox E119233 entity
Predicate name P16 FINISHED
Object Paul Cox E119233 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: Paul Cox | Statement: [Paul Cox, name, Paul Cox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Cox
Context triple: [Paul Cox, name, Paul Cox]
  • A. Paul Cox chosen
    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.
  • B. Frank Albertson
    Frank Albertson was an American character actor known for his prolific film and television career from the 1920s through the 1960s, including roles in classics like "It's a Wonderful Life" and "Psycho."
  • C. Lee Flaherty
    Lee Flaherty is an American businessman and race organizer best known for creating and launching the Chicago Marathon in the 1970s.
  • 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. Charles Farrell
    Charles Farrell was an American film actor best known as a popular romantic leading man of the late silent and early sound era, frequently paired on screen with Janet Gaynor.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bff37cc819095423cf914086c1b completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06cb5f788190b9ee79ca15da9d58 completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:51 p.m.