Triple
T786679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Policy Coordination |
E16817
|
entity |
| Predicate | ideologicalFocus |
P496
|
FINISHED |
| Object | anti-communism |
—
|
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: anti-communism | Statement: [Office of Policy Coordination, ideologicalFocus, anti-communism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ideologicalFocus Context triple: [Office of Policy Coordination, ideologicalFocus, anti-communism]
-
A.
ideologicalCore
Indicates that one entity represents the central or foundational set of beliefs, values, or principles that fundamentally shape and guide another entity’s ideology.
-
B.
ideology
chosen
Indicates the belief system or set of political, social, or philosophical principles that an entity adheres to or promotes.
-
C.
ideologicalGoal
Indicates that an entity aims to promote, realize, or advance a particular ideology or set of ideological principles.
-
D.
ideologicalInfluence
Indicates that one entity’s beliefs, values, or doctrines shape, guide, or significantly affect the ideology of another entity.
-
E.
ideologicalText
Indicates that a text expresses, promotes, or is grounded in a particular ideology or system of beliefs.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a50db97c8190a1c55673f4a357b4 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:38 p.m.