Triple

T1197645
Position Surface form Disambiguated ID Type / Status
Subject 84th Academy Awards E25704 entity
Predicate bestActorWinner P8115 FINISHED
Object Jean Dujardin E132556 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 Dujardin | Statement: [84th Academy Awards, bestActorWinner, Jean Dujardin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Dujardin
Context triple: [84th Academy Awards, bestActorWinner, Jean Dujardin]
  • A. Jean Dujardin chosen
    Jean Dujardin is a French actor and comedian best known internationally for his Oscar-winning performance in the silent film pastiche "The Artist."
  • B. Daniel Auteuil
    Daniel Auteuil is a renowned French film and stage actor acclaimed for his versatile performances in both popular cinema and auteur-driven dramas.
  • C. Gérard Depardieu
    Gérard Depardieu is a renowned French actor celebrated for his prolific film career and status as one of France’s most prominent cinematic figures.
  • D. Conrad Alexandre Gérard
    Conrad Alexandre Gérard was a French diplomat who served as the first French minister to the United States during the American Revolutionary era.
  • E. Omar Sy
    Omar Sy is a French actor and comedian best known internationally for his breakout role in the film "The Intouchables" and subsequent work in movies like "Jurassic World" and the series "Lupin."
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9a305c819091513394f1b67784 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7658cae8819081da26480926ff83 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:46 p.m.