Triple

T11809691
Position Surface form Disambiguated ID Type / Status
Subject Warren Olney III E280838 entity
Predicate familyName P18 FINISHED
Object Olney
Olney is an English-origin surname borne by various notable individuals, including figures in law, politics, and the arts.
 E947444 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: Olney | Statement: [Warren Olney III, familyName, Olney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olney
Context triple: [Warren Olney III, familyName, Olney]
  • A. Olney
    Olney is a historic market town in southeast England, known for its traditional pancake race and association with the poet William Cowper.
  • B. Olney
    Olney is a residential neighborhood in North Philadelphia known for its diverse population and urban character.
  • C. Olney Manor Park
    Olney Manor Park is a public recreational park in Olney, Maryland, featuring sports facilities, open green spaces, and community amenities for local residents.
  • D. Oakington
    Oakington is a village in Cambridgeshire, England, known for its rural character and proximity to the city of Cambridge.
  • E. Olneyville
    Olneyville is a historically industrial, working-class neighborhood in the west side of Providence, Rhode Island, known for its diverse population and ongoing urban revitalization.
  • 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: Olney
Triple: [Warren Olney III, familyName, Olney]
Generated description
Olney is an English-origin surname borne by various notable individuals, including figures in law, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olney
Target entity description: Olney is an English-origin surname borne by various notable individuals, including figures in law, politics, and the arts.
  • A. Olney
    Olney is a historic market town in southeast England, known for its traditional pancake race and association with the poet William Cowper.
  • B. Olney
    Olney is a residential neighborhood in North Philadelphia known for its diverse population and urban character.
  • C. Olney Manor Park
    Olney Manor Park is a public recreational park in Olney, Maryland, featuring sports facilities, open green spaces, and community amenities for local residents.
  • D. Oakington
    Oakington is a village in Cambridgeshire, England, known for its rural character and proximity to the city of Cambridge.
  • E. Olneyville
    Olneyville is a historically industrial, working-class neighborhood in the west side of Providence, Rhode Island, known for its diverse population and ongoing urban revitalization.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ca50a081908a198b336d8c2b98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f13188b89c819095ba5d27de7ebbb2 completed April 28, 2026, 10:15 p.m.
NEDg Description generation batch_69f141b1c50c819081a8055d951a49de completed April 28, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69f14fcb63208190ad1185ad66314fa9 completed April 29, 2026, 12:24 a.m.
Created at: April 8, 2026, 9:42 p.m.