Triple

T12840162
Position Surface form Disambiguated ID Type / Status
Subject Michael Moorer E307027 entity
Predicate name P16 FINISHED
Object Michael Moorer E307027 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 Moorer | Statement: [Michael Moorer, name, Michael Moorer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Moorer
Context triple: [Michael Moorer, name, Michael Moorer]
  • A. Michael Moorer chosen
    Michael Moorer is an American former professional boxer and multiple-time world champion who notably lost the heavyweight title to an aging George Foreman in a famous 1994 upset.
  • B. Matthew Moore
    Matthew Moore is an American professional football quarterback known for his NFL career with teams such as the Carolina Panthers and Miami Dolphins.
  • C. Sean Moore
    Sean Moore is the drummer and a founding member of the Welsh alternative rock band Manic Street Preachers.
  • D. Lou Myers
    Lou Myers was an American actor best known for his role as Mr. Vernon Gaines on the television series "A Different World."
  • E. Michael Barber
    Michael Barber is a British educationist and government adviser best known for pioneering performance management in public services, particularly through his leadership of the UK Prime Minister’s Delivery Unit under Tony Blair.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff11b4481909fb2f92c46186853 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68edeaa1881909e06600ef88727de completed May 2, 2026, 11:55 p.m.
Created at: April 9, 2026, 5:35 p.m.