Triple
T13242810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WWE Women’s Tag Team Championship |
E315321
|
entity |
| Predicate | titleDesignFeature |
P57584
|
FINISHED |
| Object | dual side plates |
—
|
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: dual side plates | Statement: [WWE Women’s Tag Team Championship, titleDesignFeature, dual side plates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleDesignFeature Context triple: [WWE Women’s Tag Team Championship, titleDesignFeature, dual side plates]
-
A.
titleTheme
Indicates that a work’s title reflects, expresses, or is thematically centered on a particular theme.
-
B.
designedFeature
chosen
Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
-
C.
brandingFeature
Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
-
D.
titleHolderDesignation
Indicates the specific role or designation held by the current holder of a particular title or position.
-
E.
ribbonDesignFeature
Indicates a design-related characteristic or attribute that is specifically associated with a ribbon.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d59e84c8190a9e547d0fe26a5f9 |
completed | April 10, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69d98bcb21648190aef241de1e7887e2 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:23 p.m.