Triple

T5580258
Position Surface form Disambiguated ID Type / Status
Subject Daydream E146621 entity
Predicate producer P490 FINISHED
Object Daryl Simmons E175259 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: Daryl Simmons | Statement: [Daydream, producer, Daryl Simmons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daryl Simmons
Context triple: [Daydream, producer, Daryl 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. Daryl Hicks
    Daryl Hicks is a notable individual recognized for achievements significant enough to be distinguished among people sharing the surname Hicks.
  • C. Warren Simmons
    Warren Simmons is an American real estate developer best known for creating San Francisco’s popular waterfront attraction Pier 39.
  • D. 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.
  • E. John Simmons
    John Simmons was a 19th-century American clothing manufacturer and philanthropist whose endowment led to the creation of Simmons University in Boston.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0206d62548190b8a3c6efc1825661 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059f7bd788190b6250a319abe0d8c completed March 22, 2026, 9:07 p.m.
Created at: March 22, 2026, 3:37 p.m.