Triple

T19411341
Position Surface form Disambiguated ID Type / Status
Subject Asian Film Award for Best Composer E485593 entity
Predicate hasAwarded P2391 FINISHED
Object Nathaniel Méchaly NE NERFINISHED

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: Nathaniel Méchaly | Statement: [Asian Film Award for Best Composer, hasAwarded, Nathaniel Méchaly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathaniel Méchaly
Context triple: [Asian Film Award for Best Composer, hasAwarded, Nathaniel Méchaly]
  • A. Nathaniel Méchaly chosen
    Nathaniel Méchaly is a French film composer best known for his atmospheric scores for movies such as the "Taken" series and various European thrillers.
  • B. Antoine Nahas
    Antoine Nahas was a Lebanese architect best known for designing the National Museum of Beirut, a landmark institution of Lebanon’s cultural heritage.
  • C. Gilbert Melki
    Gilbert Melki is a French actor known for his versatile performances in film and television, including prominent roles in French dramas and comedies.
  • D. Gilbert Chagoury
    Gilbert Chagoury is a Nigerian-Lebanese billionaire businessman and philanthropist known for his influential role in West African commerce and politics.
  • E. Jean-Claude Kalache
    Jean-Claude Kalache is a cinematographer and lighting artist best known for his work on Pixar animated films such as Monsters, Inc.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af681288190ba2ec52d5adb6a22 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.