Triple

T23416849
Position Surface form Disambiguated ID Type / Status
Subject Morgan G. Bulkeley E560531 entity
Predicate familyName P18 FINISHED
Object Bulkeley 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: Bulkeley | Statement: [Morgan G. Bulkeley, familyName, Bulkeley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulkeley
Context triple: [Morgan G. Bulkeley, familyName, Bulkeley]
  • A. Bulkeley chosen
    Bulkeley is an English-origin surname historically associated with several notable political and social figures, particularly in the United States and the United Kingdom.
  • B. Belknap
    Belknap is a surname most notably associated with American actress Anna Belknap, known for her role on the television series "CSI: NY."
  • C. Albany Hancock
    Albany Hancock was a 19th-century English naturalist and malacologist known for his influential studies of marine invertebrates, particularly nudibranchs.
  • D. Lamont
    Lamont is a surname of Scottish origin borne by various notable individuals in politics, finance, academia, and the arts.
  • E. Lamont
    Lamont is an unincorporated community in Kern County, California, known primarily as an agricultural and residential area near Bakersfield.
  • 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_69e2454cb1108190ab21ada5411a7146 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a516d158819081e9710b4e372a21 completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:39 p.m.