Triple

T2947737
Position Surface form Disambiguated ID Type / Status
Subject Matthew Knight Arena E79542 entity
Predicate namedAfter P63 FINISHED
Object Matthew Knight E251405 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: Matthew Knight | Statement: [Matthew Knight Arena, namedAfter, Matthew Knight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Knight
Context triple: [Matthew Knight Arena, namedAfter, Matthew Knight]
  • A. Matthew Knight chosen
    Matthew Knight is the son of Nike co-founder Phil Knight, in whose memory the University of Oregon's Matthew Knight Arena is named.
  • B. Jonathan Murray
    Jonathan Murray is a pioneering American television producer widely regarded as a founder of modern reality TV, best known for co-creating influential series like MTV's "The Real World."
  • C. Matthew Margeson
    Matthew Margeson is an American film composer known for his work on action and genre films, including collaborations on scores for major Hollywood productions.
  • D. Kevan Jones
    Kevan Jones is a British Labour Party politician and Member of Parliament known for his work on defence issues, including a period serving as Minister of State for the Armed Forces.
  • E. Ian Bryce
    Ian Bryce is a British film producer known for his work on major Hollywood blockbusters such as Saving Private Ryan and the Transformers series.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b5916c8190b1163bf0b7fa136a completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f85c5e0c8190a91100aadb8b8806 completed March 11, 2026, 11:18 p.m.
Created at: March 8, 2026, 2:57 p.m.