Triple

T20825162
Position Surface form Disambiguated ID Type / Status
Subject Scott (surname) E512678 entity
Predicate hasNotableBearer P458 FINISHED
Object Matthew Scott (various people) 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: Matthew Scott (various people) | Statement: [Scott (surname), hasNotableBearer, Matthew Scott (various people)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Scott (various people)
Context triple: [Scott (surname), hasNotableBearer, Matthew Scott (various people)]
  • A. Matthew Scott chosen
    Matthew Scott is a British Conservative politician who serves as the Police and Crime Commissioner for Kent.
  • B. Christopher Scott
    Christopher Scott is the father of English actress and singer Naomi Scott.
  • C. Christopher Scott
    Christopher Scott is an American choreographer, dancer, and actor best known for his work on the Step Up film series and the TV show "So You Think You Can Dance."
  • D. Jon Moss
    Jon Moss is an English drummer best known as a member of the pop band Culture Club alongside Boy George.
  • E. Brian David Willis
    Brian David Willis is a musician best known as a member of the American rock band Quarterflash.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fcc60881908ef3d8914d801ea1 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.