Triple

T11261738
Position Surface form Disambiguated ID Type / Status
Subject Blake Ahearn E266577 entity
Predicate familyName P18 FINISHED
Object Ahearn
Ahearn is a surname of Irish origin borne by various notable individuals across sports, politics, and other fields.
 E914840 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: Ahearn | Statement: [Blake Ahearn, familyName, Ahearn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ahearn
Context triple: [Blake Ahearn, familyName, Ahearn]
  • A. Hagey
    Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
  • B. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • C. Earle
    Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
  • D. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • E. Harrell
    Harrell is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • 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: Ahearn
Triple: [Blake Ahearn, familyName, Ahearn]
Generated description
Ahearn is a surname of Irish origin borne by various notable individuals across sports, politics, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ahearn
Target entity description: Ahearn is a surname of Irish origin borne by various notable individuals across sports, politics, and other fields.
  • A. Hagey
    Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
  • B. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • C. Earle
    Earle is the middle name of Gordon E. Moore, the co-founder of Intel and originator of Moore’s Law.
  • D. Rennahan
    Rennahan is a surname most notably associated with Ray Rennahan, an American cinematographer known for his pioneering work with Technicolor.
  • E. Harrell
    Harrell is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94c066c8190be1e032eb328e5fe completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccba233481909f00ebe2237c4f0c completed April 19, 2026, 12:38 p.m.
NEDg Description generation batch_69e4d9ed6a048190ae7476d44cee6a6e completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4ddb1b4c8819087699bc73610c7f8 completed April 19, 2026, 1:50 p.m.
Created at: April 8, 2026, 9:31 p.m.