Triple
T5232668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tari Piring |
E118146
|
entity |
| Predicate | contemporaryFunction |
P62536
|
FINISHED |
| Object | stage performance |
—
|
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: stage performance | Statement: [Tari Piring, contemporaryFunction, stage performance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contemporaryFunction Context triple: [Tari Piring, contemporaryFunction, stage performance]
-
A.
contemporary
Indicates that two entities exist, occur, or are active during the same time period or historical era.
-
B.
contemporaryUse
Indicates that something is currently used or practiced in the present time or modern context.
-
C.
currentFunction
Indicates that an entity is presently serving in a specific role, position, or capacity.
-
D.
contemporaryRole
Indicates that one entity holds a role, position, or function during the same time period as another referenced entity or context.
-
E.
contemporaryWith
Indicates that two entities existed, occurred, or were active during the same time period.
- F. None of above. chosen
Provenance (4 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0389048190b55b7c44fe657044 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7aff0244819085c4799793ed0185 |
completed | March 20, 2026, 4:51 p.m. |
Created at: March 20, 2026, 1:49 p.m.