Triple
T31733969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William F. Buckley Jr. Award for Media Excellence |
E809937
|
entity |
| Predicate | associatedIdeologyOfNamesake |
P21848
|
FINISHED |
| Object | American conservatism |
—
|
LITERAL 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: [William F. Buckley Jr. Award for Media Excellence, associatedIdeologyOfNamesake, American conservatism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedIdeologyOfNamesake Context triple: [William F. Buckley Jr. Award for Media Excellence, associatedIdeologyOfNamesake, American conservatism]
-
A.
ideologyNamedAfter
Indicates that an ideology is named after a particular person, group, place, or entity.
-
B.
associatedIdeologyLeader
Indicates that an ideology is linked to a specific leader who is prominently identified with or representative of that ideology.
-
C.
ideologyAlsoKnownAs
Indicates that an ideology is referred to by an alternative name, alias, or variant label.
-
D.
ideologicalAssociation
chosen
Indicates a relationship in which one entity is connected to, aligned with, or characterized by a particular ideology or set of ideological beliefs.
-
E.
ideologicalPairing
Indicates a relationship where two entities are associated or grouped together based on shared, complementary, or contrasting ideological positions.
- F. None of above.
Provenance (3 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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:22 p.m.