Triple

T17232220
Position Surface form Disambiguated ID Type / Status
Subject Frank Wildhorn E418269 entity
Predicate wroteMusicFor P30214 FINISHED
Object Carmen (Wildhorn musical) E1256994 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: Carmen (Wildhorn musical) | Statement: [Frank Wildhorn, wroteMusicFor, Carmen (Wildhorn musical)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmen (Wildhorn musical)
Context triple: [Frank Wildhorn, wroteMusicFor, Carmen (Wildhorn musical)]
  • A. Carmen (Wildhorn musical) chosen
    Carmen is a musical adaptation of Prosper Mérimée’s novella and Bizet’s opera, composed by Frank Wildhorn with a contemporary pop-influenced score.
  • B. Carmen
    Carmen is a pivotal character in the 1986 film "The Color of Money," serving as the savvy and manipulative girlfriend-manager of young pool hustler Vincent Lauria.
  • C. Carmen
    Carmen is a central character in the 2012 Spanish silent film "Blancanieves," a dark, flamenco-infused reimagining of the Snow White fairy tale.
  • D. Carmen
    Carmen is the central protagonist of the story "Abracadabra," around whom the plot and character dynamics revolve.
  • E. Carmen
    Carmen is a famous opera by Georges Bizet, renowned for its passionate music and tragic story centered on the free-spirited gypsy Carmen.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42df7da748190a3a1762a67eb871b completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170ef3110819097ac1346ae33ef94 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.