Triple
T6847735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gandrung Banyuwangi |
E157938
|
entity |
| Predicate | hasMainPerformerType |
P41712
|
FINISHED |
| Object | female dancer |
—
|
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: female dancer | Statement: [Gandrung Banyuwangi, hasMainPerformerType, female dancer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainPerformerType Context triple: [Gandrung Banyuwangi, hasMainPerformerType, female dancer]
-
A.
hasMainPerformerOccupation
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
B.
hasMusicalArtistType
Indicates that an entity has a specific role or classification as a type of musical artist (e.g., solo artist, band, composer).
-
C.
performerType
Indicates the role or category of performer responsible for carrying out an action or participating in an event.
-
D.
hasPerformerCharacteristic
chosen
Indicates that a performer possesses a particular attribute, quality, or characteristic.
-
E.
numberOfMainPerformers
Indicates the count of primary performers involved in a performance or event.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ce3e7481908e0472b8faafa473 |
completed | March 27, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.