Triple
T24554984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Aloha Hula |
E607488
|
entity |
| Predicate | performanceComponents |
P96370
|
FINISHED |
| Object | kahiko (ancient) hula |
—
|
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: kahiko (ancient) hula | Statement: [Miss Aloha Hula, performanceComponents, kahiko (ancient) hula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performanceComponents Context triple: [Miss Aloha Hula, performanceComponents, kahiko (ancient) hula]
-
A.
performancePackage
Indicates that an entity is associated with a specific performance-related bundle or configuration, typically grouping features or enhancements that affect its performance.
-
B.
performanceFeature
Indicates that an entity possesses a characteristic, capability, or attribute specifically related to its performance or operational effectiveness.
-
C.
performanceSubBrand
Indicates a relationship where a sub-brand is positioned or marketed as a higher-performance or performance-focused line within a main brand.
-
D.
performanceStapleFor
chosen
Indicates that something is a standard or regularly featured element within a particular performance.
-
E.
performanceModel
Indicates a relationship where one entity serves as a performance model that represents, predicts, or characterizes the performance behavior of another 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f1fb9c819086b5bd0b03a853e6 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.