Triple

T21558238
Position Surface form Disambiguated ID Type / Status
Subject Antoine Lahad E531947 entity
Predicate name P16 FINISHED
Object Antoine Lahad 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: Antoine Lahad | Statement: [Antoine Lahad, name, Antoine Lahad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antoine Lahad
Context triple: [Antoine Lahad, name, Antoine Lahad]
  • A. Antoine Lahad chosen
    Antoine Lahad was a Lebanese army officer best known for leading the Israeli-backed South Lebanon Army militia during the Lebanese Civil War and the subsequent occupation of southern Lebanon.
  • B. Alain Jomy
    Alain Jomy is a French film composer and music critic known for his scores for European cinema, including collaborations on acclaimed French dramas.
  • C. 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.
  • D. Michel Boujenah
    Michel Boujenah is a Tunisian-born French actor and comedian known for his work in film, television, and stand-up comedy.
  • E. Sylvain Mizrahi
    Sylvain Mizrahi, better known as Sylvain Sylvain, was an American guitarist, songwriter, and founding member of the influential proto-punk band New York Dolls.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e14af88190bc70b4d0f3453aac completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.