Triple
T3349667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cynic school |
E70458
|
entity |
| Predicate | attitudeTowardInstitutions |
P25259
|
FINISHED |
| Object | critique of political institutions |
—
|
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: critique of political institutions | Statement: [Cynic school, attitudeTowardInstitutions, critique of political institutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardInstitutions Context triple: [Cynic school, attitudeTowardInstitutions, critique of political institutions]
-
A.
stanceTowardGovernment
chosen
Indicates the attitude, position, or level of support or opposition that an entity holds toward a government.
-
B.
attitudeTowardEducation
Indicates an entity’s feelings, beliefs, or stance regarding education or educational practices.
-
C.
attitudeToRa’y
Indicates the nature or stance of one entity’s attitude, opinion, or feeling toward Ra’y.
-
D.
attitudeTowardDiversity
Indicates a stance, feeling, or evaluation that an entity holds regarding diversity or diverse groups.
-
E.
policyStance
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb21f3ae48190a33530712da01bc3 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.