Triple

T22274327
Position Surface form Disambiguated ID Type / Status
Subject Le Viager E550561 entity
Predicate hasCastMember P2308 FINISHED
Object Jean Carmet NE NERFINISHED

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 Carmet | Statement: [Le Viager, hasCastMember, Jean Carmet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Carmet
Context triple: [Le Viager, hasCastMember, Jean Carmet]
  • A. Jean Carmet chosen
    Jean Carmet was a renowned French character actor celebrated for his prolific film career and his blend of comic and dramatic roles.
  • B. Jean-Paul Guerlain
    Jean-Paul Guerlain is a renowned French perfumer and former master nose of the Guerlain house, known for creating several of its most iconic fragrances.
  • C. Jean Patou
    Jean Patou was a prominent early 20th-century French fashion designer and couturier known for his luxury sportswear, innovative perfumes, and influence on modern women’s fashion.
  • D. Jacques Fath
    Jacques Fath was a prominent mid-20th-century French fashion designer known for his glamorous, innovative couture that helped shape postwar Parisian style.
  • E. Jacques Guerlain
    Jacques Guerlain was a renowned French perfumer of the early 20th century, celebrated for creating iconic fragrances such as Shalimar, Mitsouko, and L’Heure Bleue for the Guerlain house.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea643d48190985371d01aac7bfc completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.