Triple
T30649633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Once on This Island |
E780217
|
entity |
| Predicate | featuresDeityCharacter |
P93957
|
FINISHED |
| Object | Asaka |
—
|
NE NERFINISHED |
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: Asaka | Statement: [Once on This Island, featuresDeityCharacter, Asaka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDeityCharacter Context triple: [Once on This Island, featuresDeityCharacter, Asaka]
-
A.
featuresDeity
Indicates that a work, object, or context prominently includes, depicts, or centers around a particular deity.
-
B.
featuresCharacterWith
chosen
Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
-
C.
attributeOfDeity
Indicates that something is a characteristic, quality, or property belonging to a deity.
-
D.
mythologicalFigureFeatured
Indicates that a mythological figure is prominently depicted, referenced, or plays a significant role within a given work, context, or medium.
-
E.
portraysDeity
Indicates that one entity represents, depicts, or characterizes another entity as a deity or divine being.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a001540d4f881908a4688881875e774 |
completed | May 10, 2026, 5:18 a.m. |
| PD | Predicate disambiguation | batch_6a0014a8cdd88190a67a90a2df2c5e18 |
completed | May 10, 2026, 5:16 a.m. |
Created at: April 29, 2026, 8:30 p.m.