Triple

T13110881
Position Surface form Disambiguated ID Type / Status
Subject Dabney Coleman E310966 entity
Predicate givenName P17 FINISHED
Object Dabney E487726 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: Dabney | Statement: [Dabney Coleman, givenName, Dabney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dabney
Context triple: [Dabney Coleman, givenName, Dabney]
  • A. Dabney chosen
    Dabney is an English surname derived from the French name d’Aubigny, historically associated with Norman families in Britain.
  • B. Dabney Carr
    Dabney Carr was an American lawyer, patriot, and close friend and brother-in-law of Thomas Jefferson who played a key role in early Revolutionary-era politics in Virginia.
  • C. Gulian McEvers
    Gulian McEvers was an early American merchant and broker in New York City who was among the original founders of what became the New York Stock Exchange.
  • D. Ragsdale
    Ragsdale is the surname of American singer, songwriter, and comedian Ray Stevens.
  • E. Colemore
    Colemore is a small rural village and civil parish in East Hampshire, England, known for its historic church and agricultural surroundings.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817e4f408190b77c198b4157d77a completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27d8110819087ade3537f867ae0 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.