Triple

T5027967
Position Surface form Disambiguated ID Type / Status
Subject d’Aubigny E113222 entity
Predicate hasAnglicisedForm P3437 FINISHED
Object Dabney
Dabney is an English surname derived from the French name d’Aubigny, historically associated with Norman families in Britain.
 E487726 NE FINISHED

How this triple was built (4 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: [d’Aubigny, hasAnglicisedForm, Dabney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dabney
Context triple: [d’Aubigny, hasAnglicisedForm, Dabney]
  • A. 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.
  • B. Grayson
    Grayson is the given name of British artist and Turner Prize winner Grayson Perry, known for his ceramic works and exploration of identity and gender.
  • C. Grayson
    Grayson is an unincorporated community located in Stanislaus County, California.
  • D. Grayson
    Grayson is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
  • E. Dunmore
    Dunmore is a borough in northeastern Pennsylvania that functions as a residential and industrial community adjacent to the city of Scranton.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dabney
Triple: [d’Aubigny, hasAnglicisedForm, Dabney]
Generated description
Dabney is an English surname derived from the French name d’Aubigny, historically associated with Norman families in Britain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dabney
Target entity description: Dabney is an English surname derived from the French name d’Aubigny, historically associated with Norman families in Britain.
  • A. 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.
  • B. Grayson
    Grayson is the given name of British artist and Turner Prize winner Grayson Perry, known for his ceramic works and exploration of identity and gender.
  • C. Grayson
    Grayson is an unincorporated community located in Stanislaus County, California.
  • D. Grayson
    Grayson is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
  • E. Dunmore
    Dunmore is a borough in northeastern Pennsylvania that functions as a residential and industrial community adjacent to the city of Scranton.
  • F. None of above. chosen

Provenance (5 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd738d852c8190a122354f1e1f5343 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c64db5c81909224c82ae9d9e0ab completed March 21, 2026, 1:25 p.m.
NEDg Description generation batch_69be9ce7959081908b9ddb4c677c477c completed March 21, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69be9d7e00f88190b2d12e872fadc181 completed March 21, 2026, 1:30 p.m.
Created at: March 20, 2026, 1:36 p.m.