Triple

T11516166
Position Surface form Disambiguated ID Type / Status
Subject Paul Westhead E273035 entity
Predicate name P16 FINISHED
Object Paul Westhead E273035 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: Paul Westhead | Statement: [Paul Westhead, name, Paul Westhead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Westhead
Context triple: [Paul Westhead, name, Paul Westhead]
  • A. Paul Westhead chosen
    Paul Westhead is an American basketball coach known for his fast-paced "run-and-gun" offensive style and for winning championships in both the NBA and WNBA.
  • B. Scott O. Bradner
    Scott O. Bradner is an American computer scientist and longtime Internet Engineering Task Force (IETF) leader known for his influential work on Internet standards and governance.
  • C. George A. Scangos
    George A. Scangos is an American biopharmaceutical executive and scientist known for leading major biotech companies, including Biogen and Vir Biotechnology.
  • D. Michael Turelli
    Michael Turelli is an evolutionary biologist known for his influential theoretical work on population genetics, speciation, and the dynamics of endosymbionts such as Wolbachia.
  • E. Richard T. Heffron
    Richard T. Heffron was an American film and television director known for works such as "Futureworld" and the miniseries "North and South."
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fcc72a48190b81acedfcc8685d3 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e7c75578819090a664aaa44cf933 completed April 21, 2026, 2:58 a.m.
Created at: April 8, 2026, 9:36 p.m.