Triple

T8468639
Position Surface form Disambiguated ID Type / Status
Subject Carnaval, Op. 9 E200226 entity
Predicate movement P81 FINISHED
Object Pierrot E23980 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: Pierrot | Statement: [Carnaval, Op. 9, movement, Pierrot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierrot
Context triple: [Carnaval, Op. 9, movement, Pierrot]
  • A. Pierrot chosen
    Pierrot is a traditional stock character from French pantomime and commedia dell’arte, typically portrayed as a sad, white-faced clown in loose white clothing.
  • B. La Goulue
    La Goulue was the stage name of Louise Weber, a famous late-19th-century French can-can dancer at the Moulin Rouge and a popular subject of Toulouse-Lautrec’s posters.
  • C. Pierre Gringoire
    Pierre Gringoire is a struggling poet and playwright who serves as a key viewpoint character and occasional comic figure in Victor Hugo’s novel "Notre-Dame de Paris."
  • D. Troupe de Monsieur
    Troupe de Monsieur was a prominent late-16th-century French acting company patronized by the king’s brother and known for helping establish the foundations of professional theatre in Paris.
  • E. La Périchole
    La Périchole is an opéra bouffe in three acts by Jacques Offenbach, with a libretto by Ludovic Halévy and Henri Meilhac, loosely based on the life of the Peruvian entertainer Micaela Villegas.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d445f48190884df64bb1aebd41 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39ead11c8190bf1524713a44a6fe completed April 2, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:11 p.m.