Triple

T18943470
Position Surface form Disambiguated ID Type / Status
Subject Forever E463445 entity
Predicate producer P490 FINISHED
Object Darryl Simmons 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: Darryl Simmons | Statement: [Forever, producer, Darryl Simmons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darryl Simmons
Context triple: [Forever, producer, Darryl Simmons]
  • A. Daryl Simmons chosen
    Daryl Simmons is an American songwriter and producer best known for his work on numerous R&B and pop hits, often in collaboration with Babyface and L.A. Reid.
  • B. Michael Simmons
    Michael Simmons is a relatively common personal name shared by multiple individuals across fields such as sports, business, and the arts, rather than referring to one singular widely recognized figure.
  • C. Darryl Hickman
    Darryl Hickman is an American former child actor and film and television performer known for roles in classic Hollywood films and later work as a television executive and acting coach.
  • D. Jake Simmonds
    Jake Simmonds is a character from the Doctor Who universe who appears in the two-part story involving the rise of the Cybermen in a parallel Earth.
  • E. Johnny Simmons
    Johnny Simmons is an American actor known for his roles in films like "Scott Pilgrim vs. the World," "The Perks of Being a Wallflower," and the Netflix series "Girlboss."
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3ed847c8190a911a61673608a5c completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.