Triple
T28967373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Norcross |
E732076
|
entity |
| Predicate | has ideology |
P31611
|
FINISHED |
| Object | liberal |
—
|
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: liberal | Statement: [Donald Norcross, has ideology, liberal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: has ideology Context triple: [Donald Norcross, has ideology, liberal]
-
A.
ideology
Indicates the belief system or set of political, social, or philosophical principles that an entity adheres to or promotes.
-
B.
hasIdeologicalPosition
chosen
Indicates that an entity holds, endorses, or is associated with a particular ideological stance or viewpoint.
-
C.
ideologyComponent
Indicates that one ideology is a constituent or defining part of another, broader ideology.
-
D.
hasIdeologicalRole
Indicates that an entity holds or fulfills a specific function, position, or influence within an ideology or ideological framework.
-
E.
ideologyTargeted
Indicates that an entity is specifically targeted, opposed, or acted against because of its ideology or belief system.
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65c2dca28819092e3a5f8e4876113 |
completed | May 2, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 8:52 a.m.