Triple

T14479650
Position Surface form Disambiguated ID Type / Status
Subject César Award E359064 entity
Predicate hasCategory P87 FINISHED
Object Honorary César E829736 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: Honorary César | Statement: [César Award, hasCategory, Honorary César]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honorary César
Context triple: [César Award, hasCategory, Honorary César]
  • A. César Honorary Award chosen
    The César Honorary Award is a prestigious French film accolade presented by the Académie des Arts et Techniques du Cinéma to honor an individual's lifetime achievement or exceptional contribution to cinema.
  • B. Jean-Louis Signoret Prize
    The Jean-Louis Signoret Prize is a scientific award recognizing outstanding contributions in the fields of cognitive neuroscience and neuropsychology.
  • C. Honorary Palme d'Or
    The Honorary Palme d'Or is a special lifetime achievement prize awarded at the Cannes Film Festival to honor exceptional contributions to cinema.
  • D. Rose d'Or
    The Rose d'Or is a prestigious international entertainment award recognizing excellence in television and radio programming.
  • E. Le Cam Award
    The Le Cam Award is a prestigious prize in mathematical statistics recognizing outstanding contributions to asymptotic theory and related areas.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924a576c819098351efabdb779b1 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a257488190818c65c1cc84c4b5 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.