Triple

T22560673
Position Surface form Disambiguated ID Type / Status
Subject Nicolette Larson E557804 entity
Predicate associatedAct P37 FINISHED
Object Michael McDonald 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: Michael McDonald | Statement: [Nicolette Larson, associatedAct, Michael McDonald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael McDonald
Context triple: [Nicolette Larson, associatedAct, Michael McDonald]
  • A. Michael McDonald chosen
    Michael McDonald is an American singer, songwriter, and keyboardist known for his soulful baritone voice and work with the Doobie Brothers as well as a successful solo career.
  • B. Michael McDonald
    Michael McDonald is an American actor and comedian best known for his long-running work and memorable characters on the sketch comedy series MADtv.
  • C. Michael J. McDonald
    Michael J. McDonald is a television producer best known for his work on the critically acclaimed anthology series "American Crime."
  • D. Peabo Bryson
    Peabo Bryson is an American R&B and soul singer best known for his powerful ballads and duets, including several hit Disney movie theme songs.
  • E. Glen Stewart
    Glen Stewart is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fa5f4008190921095b7aff4f4e2 completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.