Triple
T5162335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memorias políticas y de guerra |
E116463
|
entity |
| Predicate | hasAuthorRoleInEventsDescribed |
P61868
|
FINISHED |
| Object | President of the Spanish Republic |
—
|
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: President of the Spanish Republic | Statement: [Memorias políticas y de guerra, hasAuthorRoleInEventsDescribed, President of the Spanish Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorRoleInEventsDescribed Context triple: [Memorias políticas y de guerra, hasAuthorRoleInEventsDescribed, President of the Spanish Republic]
-
A.
hasAuthorRelationship
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
-
B.
authorParticipation
Indicates that an author takes part in or contributes to a specific work, project, or publication.
-
C.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
D.
hasAuthorRelationshipToSubject
Indicates that an entity serves as the author or creator of the specified subject.
-
E.
hasAuthorInterviewRole
Indicates that an entity participates in an interview in the role of an author.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79268ea48190a22d3350babc153c |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78d6a1388190804dcf568ca92129 |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:44 p.m.