Triple
T7121729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devdas |
E165963
|
entity |
| Predicate | adaptationSignificance |
P48035
|
FINISHED |
| Object | one of the most frequently adapted Indian novels to film |
—
|
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: one of the most frequently adapted Indian novels to film | Statement: [Devdas, adaptationSignificance, one of the most frequently adapted Indian novels to film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationSignificance Context triple: [Devdas, adaptationSignificance, one of the most frequently adapted Indian novels to film]
-
A.
adaptationIn
Indicates that something appears, is represented, or takes place within a particular adaptation of an original work.
-
B.
adaptation
Indicates a relationship where one entity changes or is modified to better suit, function within, or correspond to another entity or context.
-
C.
adaptationType
Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
-
D.
adaptationSubject
chosen
Indicates that one entity serves as the source or subject matter that is adapted into another work or form.
-
E.
adaptationDifference
Indicates a difference or change in how two entities adapt or have adapted relative to each other.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e61e67788190959fbd7fa6c929d3 |
completed | March 27, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:44 p.m.