Triple

T11166413
Position Surface form Disambiguated ID Type / Status
Subject Paint the Town Red E264170 entity
Predicate producer P490 FINISHED
Object Jean Baptiste E757115 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: Jean Baptiste | Statement: [Paint the Town Red, producer, Jean Baptiste]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Baptiste
Context triple: [Paint the Town Red, producer, Jean Baptiste]
  • A. Jean-Baptiste chosen
    Jean-Baptiste is a vocalist and songwriter known for his collaborations with electronic and dance music producers, including work with Italian DJ Benny Benassi.
  • B. Jean-Baptiste
    Jean-Baptiste is the given first name of the influential American jazz tenor saxophonist Illinois Jacquet.
  • C. Jean-Baptiste
    Jean-Baptiste is the French given name of the mathematician and physicist Jean-Baptiste Joseph Fourier, known for pioneering Fourier analysis and the study of heat conduction.
  • D. Jean Louis
    Jean Louis was a renowned French-born American costume designer celebrated for his glamorous Hollywood film and television wardrobe creations.
  • E. Jean-Baptiste Bich
    Jean-Baptiste Bich was a 19th-century mountaineer known for making the first ascent of several peaks in the Mont Blanc massif.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e88843cc81909e503f0921c6d297 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483747ba88190aa6ef9df2545b18b completed April 19, 2026, 7:25 a.m.
Created at: April 8, 2026, 9:29 p.m.