Triple

T20414549
Position Surface form Disambiguated ID Type / Status
Subject Michael Edwards E500673 entity
Predicate name P16 FINISHED
Object Michael Edwards 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 Edwards | Statement: [Michael Edwards, name, Michael Edwards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Edwards
Context triple: [Michael Edwards, name, Michael Edwards]
  • A. Michael Edwards chosen
    Michael Edwards is an American actor best known for playing the adult John Connor in the film "Terminator 2: Judgment Day."
  • B. Brian Edwards
    Brian Edwards is a television producer best known for his executive production work on the American professional wrestling series Lucha Underground.
  • C. Peter Edwards
    Peter Edwards is an illustrator best known for his work on the classic children's book collection "The Railway Series," which inspired the Thomas the Tank Engine franchise.
  • D. Mike Edwards
    Mike Edwards is a British cellist best known as a member of the Electric Light Orchestra (ELO), contributing to their early 1970s albums.
  • E. Justin Edwards
    Justin Edwards was a 19th-century American clergyman and prominent temperance reformer who played a leading role in organizing the early national temperance movement.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a4281048190a2b016ec16b7d203 completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:30 a.m.