Triple

T22871031
Position Surface form Disambiguated ID Type / Status
Subject Matt Painter E567194 entity
Predicate name P16 FINISHED
Object Matt Painter 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: Matt Painter | Statement: [Matt Painter, name, Matt Painter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Painter
Context triple: [Matt Painter, name, Matt Painter]
  • A. Matt Painter chosen
    Matt Painter is an American college basketball coach best known for leading the Purdue Boilermakers men's basketball program to consistent national prominence.
  • B. Len Kaminski
    Len Kaminski is an American comic book writer best known for his work at Marvel Comics in the 1990s, particularly on Iron Man-related titles and other superhero series.
  • C. Dave Alford
    Dave Alford is a rock drummer best known for his early involvement with the band that evolved into the glam metal group Ratt.
  • D. Marc McDermott
    Marc McDermott was an Australian-born American actor of the silent film era, known for his prolific work in early Hollywood cinema.
  • E. Danny McGuire
    Danny McGuire is a former English rugby league stand-off and scrum-half best known for his prolific try-scoring and trophy-laden career with Leeds Rhinos and the England national team.
  • 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f04b06481909004818ec8fc5a26 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.