Triple

T8092402
Position Surface form Disambiguated ID Type / Status
Subject John Bakewell Jr. E188897 entity
Predicate partnerInFirm P63242 FINISHED
Object Arthur Brown Jr. E20296 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: Arthur Brown Jr. | Statement: [John Bakewell Jr., partnerInFirm, Arthur Brown Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Brown Jr.
Context triple: [John Bakewell Jr., partnerInFirm, Arthur Brown Jr.]
  • A. Arthur Brown Jr. chosen
    Arthur Brown Jr. was an American architect best known for designing prominent civic landmarks in San Francisco, including its City Hall and other Beaux-Arts style public buildings.
  • B. Alan Black
    Alan Black is a Northern Irish man known for being the sole survivor of the 1976 Kingsmill massacre during the Troubles.
  • C. Roy Wood Sellars
    Roy Wood Sellars was an American philosopher known for his work in critical realism and naturalism and for helping shape early 20th-century secular humanist thought.
  • D. Andrew Brown
    Andrew Brown is a songwriter credited with co-writing the track "Stop and Stare."
  • E. Malcolm Cooke
    Malcolm Cooke is a film editor known for his work on the 1986 monster movie "King Kong Lives."
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42217a1881909792b08a2f06fb75 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640dbab881908a8142ac472f3408 completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:30 p.m.