Triple
T198574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fidel Castro |
E4050
|
entity |
| Predicate | cameToPowerIn |
P8145
|
FINISHED |
| Object | 1959 |
—
|
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: 1959 | Statement: [Fidel Castro, cameToPowerIn, 1959]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameToPowerIn Context triple: [Fidel Castro, cameToPowerIn, 1959]
-
A.
cameToPowerAfter
Indicates that one entity assumed authority or control following the rule or tenure of another entity.
-
B.
cameToPowerThrough
Indicates the manner or process by which an entity attained authority, leadership, or control, specifying how it rose to power.
-
C.
inauguratedBy
Indicates that an official event, institution, or position was formally opened, initiated, or brought into operation by a specific person or authority.
-
D.
positionInaugurated
Indicates that a person formally assumed a specific position or office at a particular point in time.
-
E.
appointedAfter
Indicates that one entity was appointed to a position or role at a later time than 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25be47ea881909c296b30a0d47a65 |
completed | Feb. 28, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69a25b47481c8190add47c641c977bb9 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25be349588190aedde33d80682344 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:44 a.m.