Triple
T7214675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Final Hours |
E149500
|
entity |
| Predicate | hasAuthorLaterRole |
P75478
|
FINISHED |
| Object | NATO commander |
—
|
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: NATO commander | Statement: [The Final Hours, hasAuthorLaterRole, NATO commander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorLaterRole Context triple: [The Final Hours, hasAuthorLaterRole, NATO commander]
-
A.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
B.
hasAuthorRelationship
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
-
C.
hasAuthorType
Indicates that an entity is associated with an author characterized by a specific role, category, or type.
-
D.
hasAuthorRelationshipToSubject
Indicates that an entity serves as the author or creator of the specified subject.
-
E.
hasAuthorRoleInEventsDescribed
Indicates that an entity serves as an author specifically in relation to the events described in a given work or context.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e98cbebc8190941e76259c988790 |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e889854481908c765ce2107f2d3a |
completed | March 27, 2026, 8:28 p.m. |
Created at: March 27, 2026, 2:53 p.m.