Triple
T18759728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenn |
E458737
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Glenn Beck |
—
|
NE NERFINISHED |
How this triple was built (2 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: Glenn Beck | Statement: [Glenn, hasNotableBearer, Glenn Beck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenn Beck Context triple: [Glenn, hasNotableBearer, Glenn Beck]
-
A.
Glenn Beck
chosen
Glenn Beck is an American conservative political commentator, radio and television host, and founder of the media network TheBlaze.
-
B.
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."
-
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.
Rush Limbaugh
Rush Limbaugh was a conservative American radio talk show host and political commentator known for his influential, often controversial program "The Rush Limbaugh Show."
-
E.
John Batchelor
John Batchelor is an Australian actor known for his work in film, television, and theatre.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d7db2f48190a4f1c5c9801fe180 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.