Triple

T20228891
Position Surface form Disambiguated ID Type / Status
Subject Ultraviolence E495463 entity
Predicate producer P490 FINISHED
Object Daniel Omelio NE NERFINISHED

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: Daniel Omelio | Statement: [Ultraviolence, producer, Daniel Omelio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Omelio
Context triple: [Ultraviolence, producer, Daniel Omelio]
  • A. Daniel Omelio chosen
    Daniel Omelio is a music producer and songwriter known for his work on contemporary pop and alternative records.
  • B. Robert Guillaume
    Robert Guillaume was an Emmy-winning American actor best known for his roles on the television series "Soap" and its spin-off "Benson," as well as voicing Rafiki in Disney's "The Lion King."
  • C. Charles Rochon
    Charles Rochon was an early French settler and landowner in the Mobile, Alabama area, recognized as one of the region’s foundational colonial figures.
  • D. Louie French
    Louie French is a British Conservative Party politician and Member of Parliament.
  • E. Pierre Galante
    Pierre Galante was a French journalist and writer best known for his long career at Paris Match and his marriage to actress Olivia de Havilland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fdb61b08190b850a9648ebfb720 completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.