Triple

T4440991
Position Surface form Disambiguated ID Type / Status
Subject True Lies E95769 entity
Predicate editor P1954 FINISHED
Object Conrad Buff E116007 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: Conrad Buff | Statement: [True Lies, editor, Conrad Buff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conrad Buff
Context triple: [True Lies, editor, Conrad Buff]
  • A. Conrad Buff IV chosen
    Conrad Buff IV is an American film editor known for his work on major Hollywood productions, including blockbusters like "Terminator Salvation."
  • B. Conrad Vig
    Conrad Vig is a dim-witted yet loyal and darkly comedic U.S. soldier portrayed by Spike Jonze in the 1999 Gulf War film "Three Kings."
  • C. Conrad Nagel
    Conrad Nagel was an American film and stage actor prominent during the silent and early sound eras, known for his sophisticated leading-man roles and long career in Hollywood.
  • D. Frank Boucher
    Frank Boucher was a Canadian Hall of Fame ice hockey centre and coach best known for his stellar play with the New York Rangers in the NHL.
  • E. Cecil Purdy
    Cecil Purdy was an Australian chess player, writer, and the first official World Correspondence Chess Champion, renowned for his instructional contributions to the game.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ac05e081908411089c05fc36bd completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b61380fca08190bf036a7d82cee0e7 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.