Triple
T30896448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dīvān of Turkic poetry |
E787033
|
entity |
| Predicate | reflectsRoleOfAuthorAs |
P57555
|
FINISHED |
| Object | Safavid ruler |
—
|
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: Safavid ruler | Statement: [Dīvān of Turkic poetry, reflectsRoleOfAuthorAs, Safavid ruler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsRoleOfAuthorAs Context triple: [Dīvān of Turkic poetry, reflectsRoleOfAuthorAs, Safavid ruler]
-
A.
declaredRoleOfAuthor
Indicates that a specific role or capacity has been explicitly stated or assigned to an author in relation to a work or contribution.
-
B.
reflectsRoleAs
chosen
Indicates that one entity expresses, represents, or makes evident the role, function, or position held by another entity.
-
C.
hasContributorRoleOfAuthor
Indicates that an entity participates as a contributor specifically in the role of an author in relation to another entity.
-
D.
reflectsInterestOfAuthorIn
Indicates that something expresses or reveals the author’s interest in a particular subject, entity, or topic.
-
E.
associatedWithAuthorRole
Indicates that an entity is connected to another entity specifically in the capacity or role of an author.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 8:49 p.m.