Triple

T21552576
Position Surface form Disambiguated ID Type / Status
Subject One Sweet Day E531801 entity
Predicate writer P1360 FINISHED
Object Michael McCary 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 McCary | Statement: [One Sweet Day, writer, Michael McCary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael McCary
Context triple: [One Sweet Day, writer, Michael McCary]
  • A. Michael McCary chosen
    Michael McCary is an American bass singer best known as a former member of the R&B group Boyz II Men.
  • B. James McCann
    James McCann is a business executive best known for serving as chairman of the global insurance brokerage and risk management firm Willis Group Holdings.
  • C. James McCann
    James McCann is an American professional baseball catcher who has played in Major League Baseball for multiple teams, including the Detroit Tigers and Chicago White Sox.
  • D. Jim McCalliog
    Jim McCalliog is a former Scottish professional footballer best known as a midfielder who played for clubs including Chelsea, Sheffield Wednesday, Wolverhampton Wanderers, Manchester United, and Southampton, and earned caps for the Scotland national team.
  • E. Cullen McCarthy
    Cullen McCarthy is an American voice actor known for his roles in animated television series and films.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb59375f481909d9e2b66d18c7c32 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:29 p.m.