Triple

T12989198
Position Surface form Disambiguated ID Type / Status
Subject Monsieur N. E321852 entity
Predicate producer P490 FINISHED
Object Antoine de Caunes E1103938 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: Antoine de Caunes | Statement: [Monsieur N., producer, Antoine de Caunes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antoine de Caunes
Context triple: [Monsieur N., producer, Antoine de Caunes]
  • A. Antoine de Caunes chosen
    Antoine de Caunes is a French actor, television presenter, and filmmaker best known internationally for hosting the satirical show "Eurotrash" and for his work in French cinema and TV.
  • B. Antoine de Caux
    Antoine de Caux was a military commander known for leading forces during the Siege of Acre.
  • C. Maurice Teynac
    Maurice Teynac was a French actor known for his work in mid-20th-century cinema and theater.
  • D. Etienne Guibourg
    Etienne Guibourg was a 17th-century French Catholic priest infamous for his alleged role in black masses and occult rituals during the Affair of the Poisons under Louis XIV.
  • E. Pierre Naville
    Pierre Naville was a French writer, sociologist, and political activist associated with the early Surrealist movement in Paris and later known for his Marxist and Trotskyist engagements.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e75b9f88190a54372c2a1223a4e completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9a12008190a86d8e11bf86d536 completed May 8, 2026, 7:02 a.m.
Created at: April 9, 2026, 8:43 p.m.