Triple

T11267492
Position Surface form Disambiguated ID Type / Status
Subject Hiram Sibley E266724 entity
Predicate familyName P18 FINISHED
Object Sibley E825514 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: Sibley | Statement: [Hiram Sibley, familyName, Sibley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sibley
Context triple: [Hiram Sibley, familyName, Sibley]
  • A. Sibley chosen
    Sibley is a surname most notably associated with Henry Hastings Sibley, an early political and military leader in Minnesota history.
  • B. Faison
    Faison is a surname most notably associated with American actor and comedian Donald Faison.
  • C. Wetmore
    Wetmore is a surname of English origin borne by various notable individuals, including American architect and acting Supervising Architect of the U.S. Treasury James A. Wetmore.
  • D. Sialia
    Sialia is a genus of small North American thrushes commonly known as bluebirds, noted for their vibrant blue plumage and insectivorous diet.
  • E. Audubon
    Audubon is a small suburban borough in Camden County, New Jersey, known primarily as a residential community near Philadelphia.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94e5e3c8190a31995d55d20d7ed completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccd52c20819093e03bba2fd359b7 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.