Triple

T20365979
Position Surface form Disambiguated ID Type / Status
Subject Ted Dabney E496909 entity
Predicate familyName P18 FINISHED
Object Dabney 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: Dabney | Statement: [Ted Dabney, familyName, Dabney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dabney
Context triple: [Ted Dabney, familyName, 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. Dabney Fairchild
    Dabney Fairchild is a central young bride and focal character in Eudora Welty’s novel "Delta Wedding," around whom the family drama and social dynamics of the Mississippi Delta revolve.
  • D. Severn Darden
    Severn Darden was an American comedian and character actor best known as a founding member of The Second City improv troupe and for his eccentric, intellectual humor in film and television roles.
  • E. 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.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67871bfdc8190948c46497cd675c9 completed April 20, 2026, 7:03 p.m.
Created at: April 16, 2026, 11:26 a.m.