Triple

T11713410
Position Surface form Disambiguated ID Type / Status
Subject Zouzou E278428 entity
Predicate screenwriter P2831 FINISHED
Object Marc Allégret E942065 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: Marc Allégret | Statement: [Zouzou, screenwriter, Marc Allégret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Allégret
Context triple: [Zouzou, screenwriter, Marc Allégret]
  • A. Marc Allégret chosen
    Marc Allégret was a French film director and screenwriter known for his influential work in early 20th-century French cinema, particularly in the 1930s and 1940s.
  • B. Michel Meunier
    Michel Meunier is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Meunier.
  • C. Jean-Louis Roux
    Jean-Louis Roux was a Canadian actor, stage director, and politician who co-founded Montreal’s Théâtre du Nouveau Monde and later served as a senator and briefly as Quebec’s lieutenant governor.
  • D. Michel Virlogeux
    Michel Virlogeux is a renowned French structural engineer and bridge designer known for his work on major long-span bridges around the world.
  • E. Michel Colombier
    Michel Colombier was a French composer, arranger, and conductor known for his work in film scores, pop, and jazz, collaborating with major artists and contributing to numerous Hollywood soundtracks.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4be10088190854699385d1f6a95 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0196916e081908671e79765d03778 completed April 28, 2026, 2:20 a.m.
Created at: April 8, 2026, 9:40 p.m.