Triple
T198562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fidel Castro |
E4050
|
entity |
| Predicate | officeStartForFirstSecretary |
P1056
|
FINISHED |
| Object | 1965-10-03 |
—
|
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: 1965-10-03 | Statement: [Fidel Castro, officeStartForFirstSecretary, 1965-10-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartForFirstSecretary Context triple: [Fidel Castro, officeStartForFirstSecretary, 1965-10-03]
-
A.
officeStart
Indicates the time or date at which an entity’s term, role, or period of holding office begins.
-
B.
secretaryGeneralStart
chosen
Indicates the date or point in time when an individual begins serving as secretary general of an organization or body.
-
C.
serviceSecretary
Indicates that one entity serves in the role of secretary for another entity.
-
D.
notableOfficeStartContext
Indicates the contextual circumstances or conditions (such as time, place, or situation) surrounding the beginning of a notable office or position held by an entity.
-
E.
leftOffice
Indicates that an entity ceased holding or performing the duties of a particular office or position.
- 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_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. |
Created at: Feb. 28, 2026, 2:44 a.m.