Triple
T17067744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tosh.0 |
E414131
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Mike Gibbons
Mike Gibbons is a television writer and producer best known for co-creating and executive producing the Comedy Central series "Tosh.0."
|
E1266238
|
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: Mike Gibbons | Statement: [Tosh.0, executiveProducer, Mike Gibbons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Gibbons Context triple: [Tosh.0, executiveProducer, Mike Gibbons]
-
A.
Michael Gibbons
Michael Gibbons is a music producer best known for his work on the album "Purple on Time."
-
B.
Sean Gibbons
Sean Gibbons was an Irish civilian who was killed during the Sack of Balbriggan in 1920, a notorious reprisal attack by British forces during the Irish War of Independence.
-
C.
Mike Doling
Mike Doling is an American guitarist best known for his work with metal and alternative bands such as Snot, Soulfly, and Scars on Broadway.
-
D.
Mike Gillespie
Mike Gillespie was a highly respected American college baseball coach best known for leading the USC Trojans to sustained success, including a national championship.
-
E.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
- 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: Mike Gibbons Triple: [Tosh.0, executiveProducer, Mike Gibbons]
Generated description
Mike Gibbons is a television writer and producer best known for co-creating and executive producing the Comedy Central series "Tosh.0."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Gibbons Target entity description: Mike Gibbons is a television writer and producer best known for co-creating and executive producing the Comedy Central series "Tosh.0."
-
A.
Michael Gibbons
Michael Gibbons is a music producer best known for his work on the album "Purple on Time."
-
B.
Sean Gibbons
Sean Gibbons was an Irish civilian who was killed during the Sack of Balbriggan in 1920, a notorious reprisal attack by British forces during the Irish War of Independence.
-
C.
Mike Doling
Mike Doling is an American guitarist best known for his work with metal and alternative bands such as Snot, Soulfly, and Scars on Broadway.
-
D.
Mike Gillespie
Mike Gillespie was a highly respected American college baseball coach best known for leading the USC Trojans to sustained success, including a national championship.
-
E.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbddd708190a6192466b7dfd606 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019fdc21148190b20c125773d8a181 |
completed | May 11, 2026, 9:22 a.m. |
| NEDg | Description generation | batch_6a01a15d95d8819097287d678cb8dd59 |
completed | May 11, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a1c415dc8190ba8f7e2a8053917f |
completed | May 11, 2026, 9:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.