Triple

T9233767
Position Surface form Disambiguated ID Type / Status
Subject Jean Seberg E221884 entity
Predicate spouse P13 FINISHED
Object Romain Gary E356542 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: Romain Gary | Statement: [Jean Seberg, spouse, Romain Gary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romain Gary
Context triple: [Jean Seberg, spouse, Romain Gary]
  • A. Romain Gary chosen
    Romain Gary was a French novelist, diplomat, and aviator renowned for his literary versatility and for being the only author to win the Prix Goncourt twice under different names.
  • B. André Malraux
    André Malraux was a prominent 20th-century French novelist, art theorist, and statesman closely associated with Charles de Gaulle and known for his influential role in shaping modern French cultural policy.
  • C. Jean Tournier
    Jean Tournier was a French cinematographer known for his work on notable films including the political thriller "The Day of the Jackal."
  • D. Claude Simon
    Claude Simon was a French novelist and key figure of the Nouveau Roman movement, known for his experimental narrative style and complex, fragmented prose.
  • E. Patrick Modiano
    Patrick Modiano is a French novelist renowned for his haunting explorations of memory, identity, and World War II-era France.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1baa3c8190870d1e850ccab1e0 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c71e206c8190bcc0b7cee01fc765 completed April 4, 2026, 8:09 a.m.
Created at: March 30, 2026, 7:29 p.m.