Triple
T9119479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yanluo Wang |
E218806
|
entity |
| Predicate | positionInMythology |
P9987
|
FINISHED |
| Object | one of the Ten Kings of Hell |
—
|
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: one of the Ten Kings of Hell | Statement: [Yanluo Wang, positionInMythology, one of the Ten Kings of Hell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInMythology Context triple: [Yanluo Wang, positionInMythology, one of the Ten Kings of Hell]
-
A.
mythologicalLocation
Indicates that the subject is a place or setting that exists within mythology, legends, or folklore rather than in historical or physical reality.
-
B.
mythologicalRole
chosen
Indicates the specific function, duty, or status an entity holds within a mythological or legendary context.
-
C.
linkedToMythology
Indicates that something has a connection or association with a mythological tradition, figure, story, or theme.
-
D.
typeOfLocationInMyths
Indicates that a location is classified by the kind of place it is within the context of myths or mythological narratives.
-
E.
mythologicalFigureFeatured
Indicates that a mythological figure is prominently depicted, referenced, or plays a significant role within a given work, context, or medium.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a902e08190a7eb4728f32b9e1d |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:17 p.m.