Triple

T19743005
Position Surface form Disambiguated ID Type / Status
Subject Peter Bent Brigham E474177 entity
Predicate familyName P18 FINISHED
Object Brigham NE NERFINISHED

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: Brigham | Statement: [Peter Bent Brigham, familyName, Brigham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brigham
Context triple: [Peter Bent Brigham, familyName, Brigham]
  • A. Brigham chosen
    Brigham is a masculine given name most notably borne by Brigham Young, the 19th-century American religious leader and second president of The Church of Jesus Christ of Latter-day Saints.
  • B. Kittredge
    Kittredge is an English-language surname borne by various notable figures, including American writer Charmian Kittredge London.
  • C. Draper
    Draper is a suburban city in the southeastern part of the Salt Lake Valley in Utah, known for its residential communities, tech industry presence, and outdoor recreation opportunities.
  • D. Draper
    Draper is a surname of English origin borne by various notable individuals across fields such as science, politics, and the arts.
  • E. Gardiner
    Gardiner is a commonly used short name for the Gardiner Expressway, a major elevated highway running along Toronto’s waterfront.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65162f0f88190b652fff01ee23090 completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.