Triple
T5640040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shams-e Tabrizi |
E124242
|
entity |
| Predicate | inspiredGenre |
P40291
|
FINISHED |
| Object | ghazals |
—
|
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: ghazals | Statement: [Shams-e Tabrizi, inspiredGenre, ghazals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredGenre Context triple: [Shams-e Tabrizi, inspiredGenre, ghazals]
-
A.
genreOfInspiration
chosen
Indicates that one entity serves as the inspirational genre or stylistic source for the creation, style, or classification of another entity.
-
B.
influencedByGenre
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
C.
inspiredSong
Indicates that one entity (such as an event, person, or work) served as the creative inspiration or motivating influence for the creation of a particular song.
-
D.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
E.
inspiredInstrument
Indicates that one entity served as the creative inspiration or model for the design, creation, or development of another instrument.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022850bf08190953cd5394f821801 |
completed | March 22, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:41 p.m.