Triple
T3197638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bharatanatyam |
E66970
|
entity |
| Predicate | movementEmphasis |
P14493
|
FINISHED |
| Object | bent knees |
—
|
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: bent knees | Statement: [Bharatanatyam, movementEmphasis, bent knees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movementEmphasis Context triple: [Bharatanatyam, movementEmphasis, bent knees]
-
A.
movementIn
Indicates a relationship where an entity moves within, into, or inside a specified area, space, or container.
-
B.
movementCharacteristic
chosen
Indicates how an entity moves or behaves in motion, such as its style, pattern, or quality of movement.
-
C.
positionEmphasized
Indicates that a particular position, stance, or role is given special prominence or stress relative to others.
-
D.
movementType
Indicates the manner or mode in which an entity moves or is moved from one place or state to another.
-
E.
movementAcross
Indicates movement of an entity from one side or area to another, traversing through or over an intervening space or boundary.
- 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_69ad8588ba18819086a10951c32ecb80 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada7192994819084817307065a25e2 |
completed | March 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69ad9e05e4f48190adbe4366cdba2349 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.