Triple

T12814898
Position Surface form Disambiguated ID Type / Status
Subject Hey Girl E306365 entity
Predicate hasNotableCoverVersionBy P11142 FINISHED
Object Michael McDonald E324811 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: Michael McDonald | Statement: [Hey Girl, hasNotableCoverVersionBy, Michael McDonald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael McDonald
Context triple: [Hey Girl, hasNotableCoverVersionBy, 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 (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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e9beb30819097c256a5aab9a4c8 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ecc83b88190a6f1ab0bb1ebaf76 completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:31 p.m.