Triple
T5163837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurley |
E116500
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tony Hurley
Tony Hurley is a person notable enough to be recognized as a prominent bearer of the surname Hurley.
|
E499951
|
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: Tony Hurley | Statement: [Hurley, hasNotableBearer, Tony Hurley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Hurley Context triple: [Hurley, hasNotableBearer, Tony Hurley]
-
A.
Scott Gorham
Scott Gorham is an American guitarist best known for his long tenure with the hard rock band Thin Lizzy and later work with its successor projects.
-
B.
Ben Shepherd
Ben Shepherd is an American musician best known as the longtime bassist for the influential grunge band Soundgarden.
-
C.
Joel McNeely
Joel McNeely is an American composer and conductor best known for his work on film and television scores, including numerous projects for Disney and other major studios.
-
D.
Ken Burnett
Ken Burnett is a prominent fundraising expert and author known for his influential work on donor relationship fundraising and nonprofit communications.
-
E.
Neil Hartley
Neil Hartley is a film and television producer known for his work on the adaptation of "The Go-Between."
- 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: Tony Hurley Triple: [Hurley, hasNotableBearer, Tony Hurley]
Generated description
Tony Hurley is a person notable enough to be recognized as a prominent bearer of the surname Hurley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tony Hurley Target entity description: Tony Hurley is a person notable enough to be recognized as a prominent bearer of the surname Hurley.
-
A.
Scott Gorham
Scott Gorham is an American guitarist best known for his long tenure with the hard rock band Thin Lizzy and later work with its successor projects.
-
B.
Ben Shepherd
Ben Shepherd is an American musician best known as the longtime bassist for the influential grunge band Soundgarden.
-
C.
Joel McNeely
Joel McNeely is an American composer and conductor best known for his work on film and television scores, including numerous projects for Disney and other major studios.
-
D.
Ken Burnett
Ken Burnett is a prominent fundraising expert and author known for his influential work on donor relationship fundraising and nonprofit communications.
-
E.
Neil Hartley
Neil Hartley is a film and television producer known for his work on the adaptation of "The Go-Between."
- 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_69bed933abd88190981cb16189685b8f |
completed | March 21, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69beda793fbc819098386f6d7633df95 |
completed | March 21, 2026, 5:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bedadb77dc81909604133f25977f35 |
completed | March 21, 2026, 5:52 p.m. |
Created at: March 20, 2026, 1:44 p.m.