Triple
T11031498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Jones |
E260767
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Jed Hoile
Jed Hoile is a performance artist and mime best known for his energetic on-stage collaborations with 1980s synth-pop musician Howard Jones.
|
E901574
|
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: Jed Hoile | Statement: [Howard Jones, associatedAct, Jed Hoile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jed Hoile Context triple: [Howard Jones, associatedAct, Jed Hoile]
-
A.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
B.
Mark Holbrook
Mark Holbrook is a notable individual whose prominence has led to his recognition as a distinguished bearer of the Holbrook surname.
-
C.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
D.
Mike Lilley
Mike Lilley is known as the husband of American sports broadcaster and television personality Melissa Stark.
-
E.
Joe Hackett
Joe Hackett is the responsible, straight-laced airline pilot and co-owner of Sandpiper Air in the sitcom "Wings," often serving as the show's central everyman figure.
- 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: Jed Hoile Triple: [Howard Jones, associatedAct, Jed Hoile]
Generated description
Jed Hoile is a performance artist and mime best known for his energetic on-stage collaborations with 1980s synth-pop musician Howard Jones.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jed Hoile Target entity description: Jed Hoile is a performance artist and mime best known for his energetic on-stage collaborations with 1980s synth-pop musician Howard Jones.
-
A.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
B.
Mark Holbrook
Mark Holbrook is a notable individual whose prominence has led to his recognition as a distinguished bearer of the Holbrook surname.
-
C.
Eric McLeod
Eric McLeod is a film producer known for his work on major Hollywood action and genre movies, including the monster crossover blockbuster "Godzilla vs. Kong."
-
D.
Mike Lilley
Mike Lilley is known as the husband of American sports broadcaster and television personality Melissa Stark.
-
E.
Joe Hackett
Joe Hackett is the responsible, straight-laced airline pilot and co-owner of Sandpiper Air in the sitcom "Wings," often serving as the show's central everyman figure.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e58aec8190bb8ffdc71c0614d2 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9a6db688190a740b787448d97b2 |
completed | April 18, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_69e3b1dfea348190a61eb19266801ad0 |
completed | April 18, 2026, 4:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b2c65fa081908038cc2f71e49073 |
completed | April 18, 2026, 4:35 p.m. |
Created at: April 8, 2026, 9:25 p.m.