Triple

T5163841
Position Surface form Disambiguated ID Type / Status
Subject Hurley E116500 entity
Predicate hasNotableBearer P458 FINISHED
Object Tom Hurley
Tom Hurley is a relatively obscure individual whose primary distinguishing feature is sharing the surname Hurley, with no widely recognized public achievements or roles documented.
 E520252 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: Tom Hurley | Statement: [Hurley, hasNotableBearer, Tom Hurley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Hurley
Context triple: [Hurley, hasNotableBearer, Tom Hurley]
  • A. Martin Hurson
    Martin Hurson was an Irish republican and Provisional IRA member who died on hunger strike in the Maze Prison during the 1981 Irish hunger strikes.
  • B. Steve Hurley
    Steve Hurley is an American DJ, producer, and remixer known as a pioneering figure in Chicago house music.
  • C. Adam Hurlburt
    Adam Hurlburt is a musician best known as a member of the indie supergroup Gayngs.
  • D. Glenn Shadix
    Glenn Shadix was an American character actor best known for his eccentric roles in films like "Beetlejuice" and various voice performances in animated works.
  • E. Christopher Lennertz
    Christopher Lennertz is an American composer best known for his film, television, and video game scores, including work on major comedies, action films, and popular series like Supernatural.
  • 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: Tom Hurley
Triple: [Hurley, hasNotableBearer, Tom Hurley]
Generated description
Tom Hurley is a relatively obscure individual whose primary distinguishing feature is sharing the surname Hurley, with no widely recognized public achievements or roles documented.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Hurley
Target entity description: Tom Hurley is a relatively obscure individual whose primary distinguishing feature is sharing the surname Hurley, with no widely recognized public achievements or roles documented.
  • A. Martin Hurson
    Martin Hurson was an Irish republican and Provisional IRA member who died on hunger strike in the Maze Prison during the 1981 Irish hunger strikes.
  • B. Steve Hurley
    Steve Hurley is an American DJ, producer, and remixer known as a pioneering figure in Chicago house music.
  • C. Adam Hurlburt
    Adam Hurlburt is a musician best known as a member of the indie supergroup Gayngs.
  • D. Glenn Shadix
    Glenn Shadix was an American character actor best known for his eccentric roles in films like "Beetlejuice" and various voice performances in animated works.
  • E. Christopher Lennertz
    Christopher Lennertz is an American composer best known for his film, television, and video game scores, including work on major comedies, action films, and popular series like Supernatural.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7927a348819082ad531955cdf30d completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4110cbbc8190858ad55ac501a034 completed March 22, 2026, 1:08 a.m.
NEDg Description generation batch_69bf4207393c819089b4fc6691a2d076 completed March 22, 2026, 1:12 a.m.
NED2 Entity disambiguation (via description) batch_69bf427e2bd08190b7664922d26e16d2 completed March 22, 2026, 1:14 a.m.
Created at: March 20, 2026, 1:44 p.m.