Triple
T130920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letter from Birmingham Jail |
E2651
|
entity |
| Predicate | primaryTheme |
P2366
|
FINISHED |
| Object | nonviolent civil disobedience |
—
|
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: nonviolent civil disobedience | Statement: [Letter from Birmingham Jail, primaryTheme, nonviolent civil disobedience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTheme Context triple: [Letter from Birmingham Jail, primaryTheme, nonviolent civil disobedience]
-
A.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
-
B.
primaryMotif
chosen
Indicates that one entity serves as the main recurring theme or dominant motif associated with another entity.
-
C.
primaryAlignment
Indicates the main or most significant way in which one entity is aligned, associated, or in agreement with another entity, standard, or category.
-
D.
primaryTarget
Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
-
E.
primaryContent
Indicates that one entity serves as the main or most important content associated with another entity.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25855baf48190a1b63f2e5865d957 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2564edb488190974dc00eb9ac37d9 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.