Triple

T8785369
Position Surface form Disambiguated ID Type / Status
Subject Carmen Jones E209030 entity
Predicate costumeDesignBy P184 FINISHED
Object Travilla E440196 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: Travilla | Statement: [Carmen Jones, costumeDesignBy, Travilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Travilla
Context triple: [Carmen Jones, costumeDesignBy, Travilla]
  • A. Travilla chosen
    Travilla was an American costume designer best known for creating some of Marilyn Monroe’s most iconic film dresses, including those in "Gentlemen Prefer Blondes."
  • B. Trumbauer
    Trumbauer is a surname most notably associated with American architect Horace Trumbauer, known for his grand Gilded Age mansions and institutional buildings.
  • C. Shanly
    Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • D. Silvania
    Silvania is a municipality and town in the Cundinamarca Department of Colombia, known for its rural landscapes and proximity to Bogotá.
  • E. Vacone
    Vacone is a small historic hilltop village in the Lazio region of central Italy, known for its scenic countryside and traditional rural character.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f758d348190804942d985f2337c completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51fded4c81909725807e4855c4a2 completed April 3, 2026, 5:37 a.m.
Created at: March 30, 2026, 6:42 p.m.