Triple

T12758324
Position Surface form Disambiguated ID Type / Status
Subject Joanne Woodward E304918 entity
Predicate notableWork P4 FINISHED
Object Paris Blues E919372 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: Paris Blues | Statement: [Joanne Woodward, notableWork, Paris Blues]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris Blues
Context triple: [Joanne Woodward, notableWork, Paris Blues]
  • A. Paris Blues chosen
    Paris Blues is a 1961 romantic drama film set in Paris’s jazz scene, starring Paul Newman and Sidney Poitier as expatriate musicians navigating love and racial tensions.
  • B. Beverly Hills Blues
    "Beverly Hills Blues" is a song featured on the soundtrack of the American singing competition television series *The Voice*.
  • C. Mademoiselle chante le blues
    Mademoiselle chante le blues is a popular French chanson and blues-influenced song that helped establish Patricia Kaas as a major figure in French pop music.
  • D. Empress of the Blues
    Empress of the Blues is the honorific title given to legendary American blues singer Bessie Smith, renowned for her powerful voice and major influence on early 20th-century music.
  • E. Miami Blues
    Miami Blues is a 1990 darkly comic crime film, based on Charles Willeford’s novel, about an unstable ex-con whose violent crime spree in Miami entangles him with a naive young woman and a weary detective.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8d3eb08190ae998df5cc6d9ba6 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c9c93248190b77c7d229da64ffb completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.