Triple

T1034510
Position Surface form Disambiguated ID Type / Status
Subject William C. Redfield E22329 entity
Predicate middleName P143 FINISHED
Object Cox E84235 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: Cox | Statement: [William C. Redfield, middleName, Cox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cox
Context triple: [William C. Redfield, middleName, Cox]
  • A. Cox chosen
    Cox is a common English surname of British and Irish origin, borne by numerous notable figures across politics, law, entertainment, and sports.
  • B. Cox Enterprises
    Cox Enterprises is a major U.S. privately held media, communications, and automotive services conglomerate.
  • C. Camm
    Camm is a surname most notably associated with Sir Sydney Camm, the influential British aircraft designer behind the Hawker Hurricane.
  • D. Busch
    Busch is a common German surname borne by numerous notable individuals across fields such as politics, the arts, and industry.
  • E. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b814c16c8190ac4d20feecdadbae completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc15a6c81909a71bf17b5cd4019 completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.