Triple
T8398504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odissi |
E198111
|
entity |
| Predicate | facialExpression |
P23736
|
FINISHED |
| Object | abhinaya (expressive acting) |
—
|
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: abhinaya (expressive acting) | Statement: [Odissi, facialExpression, abhinaya (expressive acting)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facialExpression Context triple: [Odissi, facialExpression, abhinaya (expressive acting)]
-
A.
faceExpression
chosen
Indicates the specific facial expression an entity is displaying, capturing its visible emotional or expressive state.
-
B.
emotionDisplayed
Indicates that an entity is outwardly expressing or showing a particular emotion.
-
C.
expression
Indicates that one entity is a linguistic, mathematical, or symbolic representation or manifestation of another entity.
-
D.
viewOnEmotion
Indicates a relationship where one entity holds a particular emotional perspective, reaction, or attitude toward another entity or situation.
-
E.
hasFace
Indicates that one entity possesses, displays, or is characterized by a face.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb824ac29481909f02cdb2b7cd18af |
completed | March 31, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:04 p.m.