Triple
T23350004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorothea Fields |
E591978
|
entity |
| Predicate | politicalOutlook |
P15842
|
FINISHED |
| Object | liberal-leaning |
—
|
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-leaning | Statement: [Dorothea Fields, politicalOutlook, liberal-leaning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalOutlook Context triple: [Dorothea Fields, politicalOutlook, liberal-leaning]
-
A.
politicalAttitude
Indicates an individual's stance, opinion, or orientation toward political issues, ideologies, or actors.
-
B.
politicalBase
Indicates the primary group, region, or constituency that provides core political support or power for an individual or organization.
-
C.
politicalTendency
chosen
Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
-
D.
politicalCategory
Indicates the political classification or ideological grouping that an entity belongs to or is associated with.
-
E.
politicalInterest
Indicates that an entity has an interest, concern, or engagement in political matters, issues, or activities.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a132da08190b30de610d34c96cc |
completed | April 29, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:19 p.m.