Triple
T24405447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragon Gate USA |
E615297
|
entity |
| Predicate | featuredTalentType |
P101716
|
FINISHED |
| Object | Japanese wrestlers |
—
|
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: Japanese wrestlers | Statement: [Dragon Gate USA, featuredTalentType, Japanese wrestlers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredTalentType Context triple: [Dragon Gate USA, featuredTalentType, Japanese wrestlers]
-
A.
featuresPerformerType
chosen
Indicates that something includes or highlights a performer of a specified type (e.g., musician, actor, or other performance role).
-
B.
featuresCastType
Indicates that one entity includes or highlights a particular type or category of cast (e.g., actors or performers) associated with it.
-
C.
entertainmentType
Indicates the kind or category of entertainment associated with an entity or event.
-
D.
performerType
Indicates the role or category of performer responsible for carrying out an action or participating in an event.
-
E.
featuredContentType
Indicates the specific type or category of content that is highlighted or promoted as featured.
- 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294de76848190bd2cf3c7add2dcf1 |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:05 a.m.