Triple
T4821806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaspar de Quesada |
E107725
|
entity |
| Predicate | roleInMutiny |
P59854
|
FINISHED |
| Object | leader |
—
|
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: leader | Statement: [Gaspar de Quesada, roleInMutiny, leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMutiny Context triple: [Gaspar de Quesada, roleInMutiny, leader]
-
A.
typeOfRebel
Indicates that one entity is a rebel belonging to, or classified under, a particular type or category of rebellion.
-
B.
roleInOperationJustCause
Indicates that an entity participated in or held a specific role during Operation Just Cause.
-
C.
roleInAmericanRevolution
Indicates that an entity had a specific role, position, or involvement in events or activities related to the American Revolution.
-
D.
joinedRebellion
Indicates that an entity became a member or active participant in a rebellion against an established authority.
-
E.
facedRebellionBy
Indicates that an entity experienced opposition or an uprising initiated by another entity.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1fe130819087ae01309f96a0c8 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dda5e808190a26ec85e4499d8e4 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:24 p.m.