Triple
T30557256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love’s Metamorphosis |
E777731
|
entity |
| Predicate | usesMythologicalFigures |
P86125
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Love’s Metamorphosis, usesMythologicalFigures, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMythologicalFigures Context triple: [Love’s Metamorphosis, usesMythologicalFigures, true]
-
A.
hasMythologicalUsage
Indicates that something is used, referenced, or functions within a mythological context or tradition.
-
B.
usesMythOf
Indicates that one entity employs or invokes a myth or mythical narrative about another entity as part of its actions, explanations, or representations.
-
C.
hasMythologicalFeature
Indicates that an entity possesses a characteristic, attribute, or element derived from mythology or mythological beings.
-
D.
hasMythicalFigure
chosen
Indicates that one entity is associated with, features, or includes a particular mythical or legendary figure.
-
E.
isMythologicalFigureType
Indicates that one entity is classified as a specific type or category of mythological figure in relation to 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_69f2249ed41c8190b175170ecfd6e1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 29, 2026, 8:21 p.m.