Triple

T16736904
Position Surface form Disambiguated ID Type / Status
Subject Moore Ruble Yudell Architects & Planners E406739 entity
Predicate hasPartner P1136 FINISHED
Object Buzz Yudell E1231047 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: Buzz Yudell | Statement: [Moore Ruble Yudell Architects & Planners, hasPartner, Buzz Yudell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buzz Yudell
Context triple: [Moore Ruble Yudell Architects & Planners, hasPartner, Buzz Yudell]
  • A. Buzz Yudell chosen
    Buzz Yudell is an American architect and educator best known as a founding partner of the internationally recognized firm Moore Ruble Yudell Architects & Planners.
  • B. Bruce T. Draine
    Bruce T. Draine is an American astrophysicist renowned for his influential work on interstellar dust and the interstellar medium.
  • C. Stanley Corrsin
    Stanley Corrsin was a prominent American fluid dynamicist renowned for his pioneering contributions to the study of turbulence and mixing in fluid flows.
  • D. Howard Drossin
    Howard Drossin is an American composer and sound designer best known for his work on video game soundtracks, including several Sega titles.
  • E. Dennis Troper
    Dennis Troper is a Google executive best known as the husband of former YouTube CEO Susan Wojcicki.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c3a86848190a03f243dd1bdb899 completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a51c5c388190a88f8bd67dbac82e completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:20 a.m.