Triple

T7583267
Position Surface form Disambiguated ID Type / Status
Subject Oakland Museum of California E179543 entity
Predicate architect P184 FINISHED
Object John Dinkeloo E241747 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: John Dinkeloo | Statement: [Oakland Museum of California, architect, John Dinkeloo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Dinkeloo
Context triple: [Oakland Museum of California, architect, John Dinkeloo]
  • A. John Dinkeloo chosen
    John Dinkeloo was an American architect best known for his partnership with Eero Saarinen and later leadership of Kevin Roche John Dinkeloo and Associates, contributing to numerous influential modernist buildings.
  • B. Charles Rettig
    Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
  • C. Ralph Meeker
    Ralph Meeker was an American actor best known for his tough-guy roles in film noir and drama during the 1950s and 1960s.
  • D. Charles Deetz
    Charles Deetz is a nervous, real-estate-obsessed father who moves his family into a haunted country house in the dark comedy film "Beetlejuice."
  • E. George Boemler
    George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9794034819088de196c3519a665 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb135210188190b61482e2d5747783 completed March 31, 2026, 12:20 a.m.
Created at: March 27, 2026, 3:52 p.m.