Triple

T21906056
Position Surface form Disambiguated ID Type / Status
Subject Carmen (1983 film) E540940 entity
Predicate basedOnWorkAuthor P2806 FINISHED
Object Prosper Mérimée 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: Prosper Mérimée | Statement: [Carmen (1983 film), basedOnWorkAuthor, Prosper Mérimée]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prosper Mérimée
Context triple: [Carmen (1983 film), basedOnWorkAuthor, Prosper Mérimée]
  • A. Prosper Mérimée chosen
    Prosper Mérimée was a 19th-century French writer and historian best known for his novella "Carmen," which inspired Bizet’s opera of the same name.
  • B. Jacques Cazotte
    Jacques Cazotte was an 18th-century French writer best known for his fantastical and proto-fantasy tales, including "Le Diable amoureux" ("The Devil in Love").
  • C. Théophile Gautier
    Théophile Gautier was a 19th-century French poet, novelist, and critic known for championing "art for art’s sake" and influencing later Symbolist writers.
  • D. Paul Féval
    Paul Féval was a 19th-century French novelist best known for his popular swashbuckling and crime adventure stories.
  • E. Edgar Quinet
    Edgar Quinet is a Paris Métro station in the Montparnasse area, named after the 19th-century French historian and intellectual Edgar Quinet.
  • 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_69e0c47b4e8c81908c8076eaa4c8e4f2 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d62a648190af7074251dc6a03a completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:36 p.m.