Triple
T736905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Call for Unity |
E14953
|
entity |
| Predicate | positionOnCivilDisobedience |
P19417
|
FINISHED |
| Object | opposes direct action protests |
—
|
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: opposes direct action protests | Statement: [A Call for Unity, positionOnCivilDisobedience, opposes direct action protests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnCivilDisobedience Context triple: [A Call for Unity, positionOnCivilDisobedience, opposes direct action protests]
-
A.
positionOnFreedom
Indicates a stance or viewpoint an entity holds regarding the concept, extent, or conditions of freedom.
-
B.
locationOfNotableProtest
Indicates the place where a significant or notable protest event occurred.
-
C.
laterPositionOnCivilRights
Indicates that one entity adopted or expressed a more advanced, progressive, or supportive stance on civil rights than another entity, typically at a subsequent time.
-
D.
positionOnCrime
Indicates a stance, opinion, or policy position that an entity holds regarding crime or crime-related issues.
-
E.
positionOnStatesRights
Indicates a stance or viewpoint an entity holds regarding the political principle of states’ rights versus centralized (typically federal) authority.
- F. None of above. chosen
Provenance (4 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fc734c81908fbd36386d5746d6 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a64957ec81909fe2e2dbffd80ed3 |
completed | March 1, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:37 p.m.