Triple

T4986899
Position Surface form Disambiguated ID Type / Status
Subject Hannah Gurney E112024 entity
Predicate familyName P18 FINISHED
Object Gurney
Gurney is an English surname historically associated with several notable families, including Quaker bankers, philanthropists, and public figures.
 E484345 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: Gurney | Statement: [Hannah Gurney, familyName, Gurney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gurney
Context triple: [Hannah Gurney, familyName, Gurney]
  • A. Guston
    Guston is a small village and civil parish in the Dover District of Kent, England.
  • B. Grier
    Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
  • C. Finklea
    Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
  • D. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • E. Goode
    Goode is an English surname borne by various notable individuals across fields such as acting, politics, and academia.
  • 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: Gurney
Triple: [Hannah Gurney, familyName, Gurney]
Generated description
Gurney is an English surname historically associated with several notable families, including Quaker bankers, philanthropists, and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gurney
Target entity description: Gurney is an English surname historically associated with several notable families, including Quaker bankers, philanthropists, and public figures.
  • A. Guston
    Guston is a small village and civil parish in the Dover District of Kent, England.
  • B. Grier
    Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
  • C. Finklea
    Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
  • D. Eldridge
    Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
  • E. Goode
    Goode is an English surname borne by various notable individuals across fields such as acting, politics, and academia.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd727c25bc8190b72f6ddd3772c80a completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a20a8f88190980409794c90461f completed March 21, 2026, 12:08 p.m.
NEDg Description generation batch_69be8b66c01c81908d5a06e4db395863 completed March 21, 2026, 12:13 p.m.
NED2 Entity disambiguation (via description) batch_69be8be2ab388190b8e4903d299e3a34 completed March 21, 2026, 12:15 p.m.
Created at: March 20, 2026, 1:34 p.m.