Triple
T24040411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celia Sánchez |
E595355
|
entity |
| Predicate | preRevolutionActivity |
P154632
|
FINISHED |
| Object | anti-Batista activism in Oriente Province |
—
|
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: anti-Batista activism in Oriente Province | Statement: [Celia Sánchez, preRevolutionActivity, anti-Batista activism in Oriente Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preRevolutionActivity Context triple: [Celia Sánchez, preRevolutionActivity, anti-Batista activism in Oriente Province]
-
A.
preRevolutionOccupation
Indicates the occupation or role a person held before a specific revolution or revolutionary event.
-
B.
preRevolutionStatus
Indicates the status or condition of an entity as it existed prior to a specified revolution or revolutionary event.
-
C.
postRevolution
Indicates that one event, condition, or state occurs or exists after a revolution has taken place.
-
D.
prewarActivity
Indicates activities, conditions, or behaviors that occurred or were carried out before a specific war or armed conflict.
-
E.
continuedInPostRevolutionaryFrance
Indicates that an action, practice, or relationship persisted into the period following the French Revolution in France.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d8b7248190a4e7f152d6bfc2bc |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 9:57 p.m.