Triple

T6157475
Position Surface form Disambiguated ID Type / Status
Subject Danny Aiello E137357 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: [Danny Aiello, notableWork, Léon: The Professional]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Léon: The Professional
Context triple: [Danny Aiello, 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. Il Malo
    Il Malo is the Italian nickname meaning "the Bad" given to William I of Sicily, a 12th-century Norman king known for his unpopular rule and internal strife in the kingdom.
  • D. Red Heat
    Red Heat is a 1988 buddy-cop action film starring Arnold Schwarzenegger and James Belushi, directed by Walter Hill.
  • E. 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.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d3177588190970a45af0d43b04c completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1418ba6488190aaf8d3070555d60a completed March 23, 2026, 1:35 p.m.
Created at: March 22, 2026, 4:17 p.m.