Triple
T6047622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levin |
E134705
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Mark Levin
Mark Levin is a conservative American lawyer, author, and talk radio and television host known for his outspoken commentary on U.S. politics and constitutional issues.
|
E565008
|
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: Mark Levin | Statement: [Levin, hasNotableBearer, Mark Levin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Levin Context triple: [Levin, hasNotableBearer, Mark Levin]
-
A.
John Batchelor
John Batchelor is an Australian actor known for his work in film, television, and theatre.
-
B.
Pete Nance
Pete Nance is an American professional basketball player known for his collegiate career at Northwestern and North Carolina and as the son of former NBA All-Star Larry Nance.
-
C.
Sean Hannity
Sean Hannity is a conservative American television and radio host best known for his long-running prime-time show on Fox News.
-
D.
Bill O’Reilly
Bill O’Reilly is an American conservative political commentator, author, and former long-time host of the Fox News program "The O’Reilly Factor."
-
E.
Jason Hart
Jason Hart is a former American professional basketball player who later became a college coach.
- 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: Mark Levin Triple: [Levin, hasNotableBearer, Mark Levin]
Generated description
Mark Levin is a conservative American lawyer, author, and talk radio and television host known for his outspoken commentary on U.S. politics and constitutional issues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Levin Target entity description: Mark Levin is a conservative American lawyer, author, and talk radio and television host known for his outspoken commentary on U.S. politics and constitutional issues.
-
A.
John Batchelor
John Batchelor is an Australian actor known for his work in film, television, and theatre.
-
B.
Pete Nance
Pete Nance is an American professional basketball player known for his collegiate career at Northwestern and North Carolina and as the son of former NBA All-Star Larry Nance.
-
C.
Sean Hannity
Sean Hannity is a conservative American television and radio host best known for his long-running prime-time show on Fox News.
-
D.
Bill O’Reilly
Bill O’Reilly is an American conservative political commentator, author, and former long-time host of the Fox News program "The O’Reilly Factor."
-
E.
Jason Hart
Jason Hart is a former American professional basketball player who later became a college coach.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e70fd48190b4554e9a516a1c88 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113a2b65c8190a1891e790cb9a5de |
completed | March 23, 2026, 10:19 a.m. |
| NEDg | Description generation | batch_69c11551bec88190be77db3ec96045ad |
completed | March 23, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c115f88e948190a3ea11b33742779c |
completed | March 23, 2026, 10:29 a.m. |
Created at: March 22, 2026, 4:09 p.m.