Triple

T10870776
Position Surface form Disambiguated ID Type / Status
Subject Moreau E256644 entity
Predicate hasNotableBearer P458 FINISHED
Object Jeanne Moreau E253577 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: Jeanne Moreau | Statement: [Moreau, hasNotableBearer, Jeanne Moreau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeanne Moreau
Context triple: [Moreau, hasNotableBearer, Jeanne Moreau]
  • A. Jeanne Moreau chosen
    Jeanne Moreau was a celebrated French actress and director, renowned for her complex, magnetic performances in films of the French New Wave and beyond.
  • B. Delphine Seyrig
    Delphine Seyrig was a renowned French actress known for her roles in influential European art films of the 1960s and 1970s, including collaborations with directors like Alain Resnais and Chantal Akerman.
  • C. Marie Trintignant
    Marie Trintignant was a French actress known for her intense, emotionally charged performances in film, television, and theater before her life was tragically cut short.
  • D. Simone Signoret
    Simone Signoret was an acclaimed French actress and Academy Award winner, renowned for her powerful performances in mid-20th-century European cinema.
  • E. Micheline Presle
    Micheline Presle is a renowned French actress known for her prolific film and television career spanning from the 1940s onward.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7518610e48190bee50db71ae0ca3e completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6d70e90819093ced18f59785ab9 completed April 18, 2026, 12:56 a.m.
Created at: April 8, 2026, 9:20 p.m.