Triple
T6433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Roosevelt |
E128
|
entity |
| Predicate | politicalAlignment |
P496
|
FINISHED |
| Object | liberalism |
—
|
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: liberalism | Statement: [Eleanor Roosevelt, politicalAlignment, liberalism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalAlignment Context triple: [Eleanor Roosevelt, politicalAlignment, liberalism]
-
A.
politicalParty
Indicates that an entity is affiliated with, belongs to, or is a member of a specific political party.
-
B.
ideology
chosen
Indicates the belief system or set of political, social, or philosophical principles that an entity adheres to or promotes.
-
C.
governmentType
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
-
D.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
E.
election
Indicates a relationship where individuals or groups formally choose someone or something from among candidates or options, typically through a voting process.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a2421836f08190b54fc40edeb1a96b |
completed | Feb. 28, 2026, 1:17 a.m. |
| PD | Predicate disambiguation | batch_69a23fe064c881909496fd0e6b0e18d7 |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.