Triple

T6336224
Position Surface form Disambiguated ID Type / Status
Subject Prix Médicis E142496 entity
Predicate comparedWith P278 FINISHED
Object Prix Goncourt E134840 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: Prix Goncourt | Statement: [Prix Médicis, comparedWith, Prix Goncourt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prix Goncourt
Context triple: [Prix Médicis, comparedWith, Prix Goncourt]
  • A. Prix Goncourt chosen
    The Prix Goncourt is France’s most prestigious literary prize, awarded annually to an author of outstanding prose fiction in the French language.
  • B. Académie Goncourt
    Académie Goncourt is a prestigious French literary organization best known for awarding the influential Prix Goncourt, one of France’s most important literary prizes.
  • C. Grand Prix du roman de l'Académie française
    The Grand Prix du roman de l'Académie française is a prestigious French literary prize awarded annually by the Académie française to honor an outstanding novel written in French.
  • D. Prix Femina
    The Prix Femina is a prestigious French literary prize, awarded annually by an all-female jury to outstanding works of literature.
  • E. Prix de l’Académie française
    The Prix de l’Académie française is a prestigious literary prize awarded by the Académie française to honor outstanding contributions to French literature and language.
  • 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_69c008d4d8e88190ad301c05b08722ac completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0654a88a881908d5cb2aa7f22c4c7 completed March 22, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63864d6b48190af090c1ba1487e9b completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:30 p.m.