Triple
T21195606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janabai |
E522316
|
entity |
| Predicate | themeOfWorks |
P63655
|
FINISHED |
| Object | devotion to Vithoba |
—
|
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: devotion to Vithoba | Statement: [Janabai, themeOfWorks, devotion to Vithoba]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeOfWorks Context triple: [Janabai, themeOfWorks, devotion to Vithoba]
-
A.
settingOfWorks
Indicates that a place or environment serves as the primary setting where the events or narratives of one or more works take place.
-
B.
genreOfWorkAbout
Indicates that a work is about a particular genre, expressing that the work’s subject matter or focus concerns that genre.
-
C.
genreOfWorkDescribedIn
Indicates that a work is characterized as belonging to a particular genre as described in another resource or context.
-
D.
artworkSubjectHeading
chosen
Indicates that an artwork is associated with a specific subject heading used to categorize or describe its thematic content.
-
E.
formatOfWorks
Indicates the specific medium, layout, or structural form in which works are created, presented, or published.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7333bd7a0819084bbd1d6c111bc65 |
completed | April 21, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:08 p.m.