Triple

T2691276
Position Surface form Disambiguated ID Type / Status
Subject Gary Oldman E58406 entity
Predicate notableWork P4 FINISHED
Object Léon: The Professional E247495 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: Léon: The Professional | Statement: [Gary Oldman, notableWork, Léon: The Professional]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Léon: The Professional
Context triple: [Gary Oldman, notableWork, Léon: The Professional]
  • A. Léon: The Professional chosen
    Léon: The Professional is a 1994 crime thriller film by Luc Besson about a hitman who forms an unusual bond with a young girl after her family is murdered.
  • B. Léon
    Léon is a French surname borne by various notable individuals across fields such as politics, arts, and academia.
  • C. Get Carter
    Get Carter is a 1971 British crime thriller film, widely regarded as a classic of the genre, in which Michael Caine plays a ruthless London gangster investigating his brother’s death in Newcastle.
  • D. Donnie Brasco
    Donnie Brasco is a 1997 crime drama film based on the true story of an undercover FBI agent who infiltrates the Mafia, starring Johnny Depp and Al Pacino.
  • E. Point Blank
    Point Blank is a segment or component of the larger work titled "The River," likely representing a distinct chapter, track, or section within that overall composition.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda0cb9b48190ab354c277cef9e23 completed March 7, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf61b83c8190ab254d927cb908f2 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:54 p.m.