Triple

T9854853
Position Surface form Disambiguated ID Type / Status
Subject Transporter 2 E239557 entity
Predicate writer P1360 FINISHED
Object Luc Besson E275928 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: Luc Besson | Statement: [Transporter 2, writer, Luc Besson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luc Besson
Context triple: [Transporter 2, writer, Luc Besson]
  • A. Luc Besson chosen
    Luc Besson is a French film director, screenwriter, and producer known for visually stylish, action-driven movies such as "Léon: The Professional," "The Fifth Element," and "Lucy."
  • B. Fabrice Du Welz
    Fabrice Du Welz is a Belgian film director and screenwriter known for his dark, atmospheric genre films such as "Calvaire," "Vinyan," and "Alleluia."
  • C. Claude Lelouch
    Claude Lelouch is a French film director, screenwriter, and producer best known for his romantic drama "A Man and a Woman," which won international acclaim and multiple major awards.
  • D. Bertrand Blier
    Bertrand Blier is a French film director and screenwriter known for his darkly comic, provocative films such as "Get Out Your Handkerchiefs" and "Going Places."
  • E. Paul Legentilhomme
    Paul Legentilhomme was a French general and prominent Free French commander during World War II, noted for his leadership in campaigns in East Africa and the Middle East.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3960fb481909c90d6d6cafc6222 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d511e348190aab23a45048ea7b3 completed April 5, 2026, 7:20 a.m.
Created at: March 30, 2026, 8:34 p.m.