Triple
T22189255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jay Mohr |
E548373
|
entity |
| Predicate | hosted |
P2777
|
FINISHED |
| Object |
Jay Mohr Sports
Jay Mohr Sports was a nationally syndicated American sports talk radio show featuring comedian and actor Jay Mohr’s humorous and opinionated take on sports and pop culture.
|
E1524270
|
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: Jay Mohr Sports | Statement: [Jay Mohr, hosted, Jay Mohr Sports]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Mohr Sports Context triple: [Jay Mohr, hosted, Jay Mohr Sports]
-
A.
Sean Moore
Sean Moore is the drummer and a founding member of the Welsh alternative rock band Manic Street Preachers.
-
B.
Sean Moore
Sean Moore is a writer known for his work on the film "Tsunami."
-
C.
Jacob Moore
Jacob Moore is a young, ambitious proprietary trader navigating high finance and moral dilemmas in the film "Wall Street: Money Never Sleeps."
-
D.
Jack Moore
Jack Moore is an alternative name used by American actor Clayton Moore, best known for portraying the Lone Ranger on television.
-
E.
Michael "Mo" Morris
Michael "Mo" Morris is the central character in the film "Beautiful Girls," a young man returning to his hometown and confronting questions about adulthood, relationships, and the direction of his 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: Jay Mohr Sports Triple: [Jay Mohr, hosted, Jay Mohr Sports]
Generated description
Jay Mohr Sports was a nationally syndicated American sports talk radio show featuring comedian and actor Jay Mohr’s humorous and opinionated take on sports and pop culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jay Mohr Sports Target entity description: Jay Mohr Sports was a nationally syndicated American sports talk radio show featuring comedian and actor Jay Mohr’s humorous and opinionated take on sports and pop culture.
-
A.
Sean Moore
Sean Moore is the drummer and a founding member of the Welsh alternative rock band Manic Street Preachers.
-
B.
Sean Moore
Sean Moore is a writer known for his work on the film "Tsunami."
-
C.
Jacob Moore
Jacob Moore is a young, ambitious proprietary trader navigating high finance and moral dilemmas in the film "Wall Street: Money Never Sleeps."
-
D.
Jack Moore
Jack Moore is an alternative name used by American actor Clayton Moore, best known for portraying the Lone Ranger on television.
-
E.
Michael "Mo" Morris
Michael "Mo" Morris is the central character in the film "Beautiful Girls," a young man returning to his hometown and confronting questions about adulthood, relationships, and the direction of his 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aab3d2c81908a3b5a5c127c4aac |
completed | April 28, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0aa60a4de88190bd4a7902e9d4c0b8 |
completed | May 18, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_6a0aa6d1f634819082d1edd70217b70c |
completed | May 18, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa7879e048190bd4b8e7f7cfbaec4 |
completed | May 18, 2026, 5:45 a.m. |
Created at: April 16, 2026, 8:35 p.m.