Triple
T35953594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tucker Carlson Originals |
E1039793
|
entity |
| Predicate | notablePresenterIdeology |
P31611
|
FINISHED |
| Object | American conservatism |
E648325
|
NE FINISHED |
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: American conservatism | Statement: [Tucker Carlson Originals, notablePresenterIdeology, American conservatism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePresenterIdeology Context triple: [Tucker Carlson Originals, notablePresenterIdeology, American conservatism]
-
A.
notableOpponentIdeology
Indicates that an entity’s notable opponent is associated with, represents, or is characterized by a particular ideology.
-
B.
notableProponent
Indicates that an entity is a well-known advocate or supporter of another entity, idea, or practice.
-
C.
hasIdeologicalRole
Indicates that an entity holds or fulfills a specific function, position, or influence within an ideology or ideological framework.
-
D.
hasIdeologicalPosition
chosen
Indicates that an entity holds, endorses, or is associated with a particular ideological stance or viewpoint.
-
E.
ideologyNamedAfter
Indicates that an ideology is named after a particular person, group, place, or entity.
- F. None of above.
Provenance (4 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38b70124f08190a7280f288d527aa8 |
completed | June 22, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.