Triple
T6677794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Cleveland |
E151897
|
entity |
| Predicate | alignmentDuringConflict |
P16437
|
FINISHED |
| Object | Royalists in the English Civil War |
—
|
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: Royalists in the English Civil War | Statement: [John Cleveland, alignmentDuringConflict, Royalists in the English Civil War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alignmentDuringConflict Context triple: [John Cleveland, alignmentDuringConflict, Royalists in the English Civil War]
-
A.
alignedAgainst
Indicates that two or more entities are united in opposition to a common target, side, or objective.
-
B.
alignmentConcept
chosen
Indicates a conceptual or abstract relationship of alignment or correspondence between entities, such as agreement, compatibility, or shared orientation in some dimension.
-
C.
endedConflict
Indicates that a previously ongoing conflict between entities has been brought to an end.
-
D.
alignmentChange
Indicates a change in the moral, ethical, or factional stance of an entity relative to its previous alignment.
-
E.
implementedDuringConflict
Indicates that an action, policy, or measure was carried out while an active conflict or war was ongoing.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c0aa8c5c8190a302b261f11b70cb |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0b6d00819086205b8ce30dd045 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:03 p.m.