Triple

T9824619
Position Surface form Disambiguated ID Type / Status
Subject Lindsay Doran E238622 entity
Predicate notableWork P4 FINISHED
Object The Recruit E246826 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: The Recruit | Statement: [Lindsay Doran, notableWork, The Recruit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Recruit
Context triple: [Lindsay Doran, notableWork, The Recruit]
  • A. The Recruit chosen
    The Recruit is a 2003 spy thriller film starring Al Pacino and Colin Farrell that follows a young CIA trainee drawn into a web of deception and espionage.
  • B. Behind the Front
    "Behind the Front" is the debut studio album by American hip hop group Black Eyed Peas, showcasing their early alternative and socially conscious rap style before their later pop-oriented success.
  • C. Matsuda Force
    Matsuda Force is a Japanese military unit featured as an opposing force in the strategy video game "Operation Backhander."
  • D. On Guard
    On Guard is a popular-level Christian apologetics book by philosopher and theologian William Lane Craig that presents arguments for the rationality of the Christian faith.
  • E. On Guard
    On Guard is a 1997 French swashbuckling adventure film, based on Paul Féval’s novel "Le Bossu," known for its spirited swordplay, period setting, and blend of action, romance, and comedy.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3181c688190afea3b27ee392a30 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc810bac8190a5ff94c0717e7706 completed April 5, 2026, 2:44 a.m.
Created at: March 30, 2026, 8:31 p.m.