Triple

T11173134
Position Surface form Disambiguated ID Type / Status
Subject Kenneth McMillan E264333 entity
Predicate awardReceived P11 FINISHED
Object CAV Award E260376 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: CAV Award | Statement: [Kenneth McMillan, awardReceived, CAV Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAV Award
Context triple: [Kenneth McMillan, awardReceived, CAV Award]
  • A. CAV Award chosen
    The CAV Award is a prestigious honor in computer science recognizing fundamental and influential contributions to the field of computer-aided verification.
  • B. AIAS Hall of Fame Award
    The AIAS Hall of Fame Award is a prestigious honor presented by the Academy of Interactive Arts & Sciences to recognize individuals who have made significant and lasting contributions to the video game industry.
  • C. Vanguard Award
    The Vanguard Award is an honor recognizing groundbreaking innovation and leadership in the media and entertainment industry.
  • D. Crystal Award
    The Crystal Award is a World Economic Forum honor presented to artists and cultural leaders whose work has made a significant impact on improving the state of the world.
  • E. VES Visionary Award
    The VES Visionary Award is a special honor presented by the Visual Effects Society to recognize individuals who have uniquely and consistently expanded the boundaries of visual storytelling and the use of visual effects in media.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e463c03a948190b0f40f657180c9bf completed April 19, 2026, 5:10 a.m.
Created at: April 8, 2026, 9:29 p.m.