Triple

T14893693
Position Surface form Disambiguated ID Type / Status
Subject Fred Haney E359814 entity
Predicate familyName P18 FINISHED
Object Haney
Haney is a surname most notably associated with Fred Haney, an American Major League Baseball manager and executive.
 E738765 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: Haney | Statement: [Fred Haney, familyName, Haney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haney
Context triple: [Fred Haney, familyName, Haney]
  • A. Haney
    Haney is a historic community and commercial centre within the city of Maple Ridge in British Columbia, Canada.
  • B. Baney
    Baney is a small town and district capital located on Bioko Island in Equatorial Guinea.
  • C. Hagey
    Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
  • D. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • E. Hayes
    Hayes is a town in the southern Jamaican parish of Clarendon, known historically for its sugar estates and bauxite-related industry.
  • 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: Haney
Triple: [Fred Haney, familyName, Haney]
Generated description
Haney is a surname most notably associated with Fred Haney, an American Major League Baseball manager and executive.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haney
Target entity description: Haney is a surname most notably associated with Fred Haney, an American Major League Baseball manager and executive.
  • A. Haney chosen
    Haney is a historic community and commercial centre within the city of Maple Ridge in British Columbia, Canada.
  • B. Baney
    Baney is a small town and district capital located on Bioko Island in Equatorial Guinea.
  • C. Hagey
    Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
  • D. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • E. Hayes
    Hayes is a town in the southern Jamaican parish of Clarendon, known historically for its sugar estates and bauxite-related industry.
  • F. None of above.

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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f9d10c819091732d7a5a42a682 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b65ac5c81908691de1161d07de0 completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6c68c46881909e7c748c0dff73d5 completed May 8, 2026, 11:06 p.m.
NED2 Entity disambiguation (via description) batch_69fe6d1eea60819087ca2ebc7d0a8994 completed May 8, 2026, 11:09 p.m.
Created at: April 10, 2026, 2:10 a.m.