Triple
T6847736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gandrung Banyuwangi |
E157938
|
entity |
| Predicate | hasMainPerformerTitle |
P50979
|
FINISHED |
| Object | gandrung 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: gandrung dancer | Statement: [Gandrung Banyuwangi, hasMainPerformerTitle, gandrung dancer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainPerformerTitle Context triple: [Gandrung Banyuwangi, hasMainPerformerTitle, gandrung dancer]
-
A.
hasMainPerformerOccupation
chosen
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
B.
hasNotablePerformer
Indicates that an entity features or is associated with a performer who is particularly prominent, famous, or otherwise noteworthy.
-
C.
hasMainRole
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
-
D.
numberOfMainPerformers
Indicates the count of primary performers involved in a performance or event.
-
E.
performerCreditedAs
Indicates that a performer is associated with a work under a specific credited name or alias.
- 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.