Triple
T9458132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carabosse |
E228069
|
entity |
| Predicate | typicalCostumeInBallet |
P65728
|
FINISHED |
| Object | dark, elaborate robes |
—
|
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: dark, elaborate robes | Statement: [Carabosse, typicalCostumeInBallet, dark, elaborate robes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCostumeInBallet Context triple: [Carabosse, typicalCostumeInBallet, dark, elaborate robes]
-
A.
balletType
Indicates that one entity is classified as a specific type or category of ballet in relation to another entity.
-
B.
typicalCostumePattern
chosen
Indicates that one entity is the characteristic or commonly used costume pattern associated with another entity.
-
C.
balletInActs
Indicates that a ballet is structured or divided into a specified number of acts.
-
D.
balletInclusion
Indicates that ballet is included, featured, or incorporated as a component within something, such as a program, event, or curriculum.
-
E.
costumeType
Indicates the specific kind or category of costume associated with an entity.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f924f3081909dd937cbe6802881 |
completed | April 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69cca55caaa8819089c5138e014892d3 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:52 p.m.