Triple

T16875855
Position Surface form Disambiguated ID Type / Status
Subject Le Boucher E421296 entity
Predicate cinematographyBy P1953 FINISHED
Object Jean Rabier E824844 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: Jean Rabier | Statement: [Le Boucher, cinematographyBy, Jean Rabier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Rabier
Context triple: [Le Boucher, cinematographyBy, Jean Rabier]
  • A. Jean Rabier chosen
    Jean Rabier was a French cinematographer best known for his long collaboration with director Claude Chabrol and his influential work in postwar European art cinema.
  • B. Micheline Roquebrune
    Micheline Roquebrune is a French-Moroccan painter and golf enthusiast best known as the longtime wife of Scottish actor Sean Connery.
  • C. Gilberte Géniat
    Gilberte Géniat was a French actress known for her supporting roles in mid-20th-century French cinema, including appearances in influential New Wave films.
  • D. Marguerite Soulié
    Marguerite Soulié was the French wife of English novelist Arnold Bennett, known primarily through her marriage to the prominent author.
  • E. Germaine Aussey
    Germaine Aussey was a French film actress active in the 1930s and 1940s, known for her roles in comedies and popular European cinema of the era.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f646308190b5e277b5f51cd315 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139e8e5648190bf46245fad7efd77 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:29 a.m.