Triple

T15600275
Position Surface form Disambiguated ID Type / Status
Subject Dean Cundey E375011 entity
Predicate familyName P18 FINISHED
Object Cundey E375011 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: Cundey | Statement: [Dean Cundey, familyName, Cundey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cundey
Context triple: [Dean Cundey, familyName, Cundey]
  • A. Cundey chosen
    Cundey is a surname most notably associated with American cinematographer Dean Cundey, known for his work on influential genre and blockbuster films.
  • B. Deskey Associates
    Deskey Associates is a design and branding firm established by industrial designer Donald Deskey, known for its work in product, packaging, and corporate identity design.
  • C. Bohlin
    Bohlin is a Swedish surname associated with various notable individuals in fields such as architecture, sports, and academia.
  • D. Thornton Tomasetti
    Thornton Tomasetti is a global engineering firm renowned for its innovative structural design and consulting work on landmark skyscrapers and complex buildings worldwide.
  • E. Ennead Architects
    Ennead Architects is a prominent New York–based architectural firm known for designing major cultural, educational, and scientific institutions.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e621fc4819097e8e85e7ddfdc6c completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56cf8e5c8190bf13114ab0a834de completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.