Triple

T11644338
Position Surface form Disambiguated ID Type / Status
Subject David Ray Griffin E276742 entity
Predicate workLocation P7 FINISHED
Object Claremont, California E844471 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: Claremont, California | Statement: [David Ray Griffin, workLocation, Claremont, California]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claremont, California
Context triple: [David Ray Griffin, workLocation, Claremont, California]
  • A. Claremont, California
    Claremont, California is a suburban city in eastern Los Angeles County known for its consortium of prestigious colleges, tree-lined streets, and vibrant academic community.
  • B. Claremont
    Claremont is a historic country house and estate in Surrey, England, known for its landscaped gardens and royal connections.
  • C. Claremont
    Claremont is a small town located in the rural interior of Saint Ann Parish on Jamaica’s north coast.
  • D. Claremont
    Claremont is a residential neighbourhood within the city of Pickering in Ontario, Canada.
  • E. Claremont chosen
    Claremont is a small, affluent college town in eastern Los Angeles County, California, known for its consortium of higher education institutions collectively called the Claremont Colleges.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cb4ca88190a9322f08416d3974 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82b8b1f48190aa6c78044d3570d1 completed April 27, 2026, 3:37 p.m.
Created at: April 8, 2026, 9:39 p.m.