Triple
T27930104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minamoto no Yorimasa |
E707955
|
entity |
| Predicate | poeticReputation |
P64255
|
FINISHED |
| Object | renowned for elegant and melancholic verse |
—
|
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: renowned for elegant and melancholic verse | Statement: [Minamoto no Yorimasa, poeticReputation, renowned for elegant and melancholic verse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poeticReputation Context triple: [Minamoto no Yorimasa, poeticReputation, renowned for elegant and melancholic verse]
-
A.
favoritePoet
Indicates that one entity is the poet whom another entity prefers above all other poets.
-
B.
poeticCategory
Indicates that one entity is classified as belonging to a particular poetic category or type of poetry in relation to another entity.
-
C.
poeticStyle
chosen
Indicates the stylistic or formal manner in which something is expressed in poetry, such as its structure, tone, and linguistic features.
-
D.
hasPoeticEpigraphs
Indicates that one entity (typically a work) includes poetic epigraphs associated with or prefacing another entity.
-
E.
hasPoeticAttestations
Indicates that the subject is documented or evidenced in poetic sources or literary works.
- 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_69ef96bbf2c48190a9d0e0291457aab6 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:02 p.m.