Triple
T33703284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tasha Bertram Dance |
E863515
|
entity |
| Predicate | hasMovementLanguage |
P26408
|
FINISHED |
| Object | expressive movement |
—
|
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: expressive movement | Statement: [Tasha Bertram Dance, hasMovementLanguage, expressive movement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMovementLanguage Context triple: [Tasha Bertram Dance, hasMovementLanguage, expressive movement]
-
A.
movementLanguage
chosen
Indicates a relationship where communication or expression is conveyed through physical movement or gesture rather than spoken or written language.
-
B.
haveMovementFor
Indicates that an entity exhibits or is assigned a specific type or pattern of movement in relation to another entity or context.
-
C.
languageMovementEvent
Indicates an event in which a language or linguistic community changes location, spreads, or shifts geographically or socially.
-
D.
hasMovementLegacy
Indicates that an entity carries forward, preserves, or significantly influences the ongoing impact, traditions, or ideals of a particular movement.
-
E.
hasMovementVariant
Indicates that one movement is an alternative or variant form of another movement.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
Created at: May 1, 2026, 1:43 a.m.