Triple
T25001270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WCW Monday Nitro |
E625724
|
entity |
| Predicate | featuredCommentator |
P13626
|
FINISHED |
| Object | Tony Schiavone |
—
|
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: Tony Schiavone | Statement: [WCW Monday Nitro, featuredCommentator, Tony Schiavone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredCommentator Context triple: [WCW Monday Nitro, featuredCommentator, Tony Schiavone]
-
A.
commentator
chosen
Indicates that an entity provides spoken or written real-time explanation, analysis, or opinion about an event, action, or content involving another entity.
-
B.
coCommentatorWith
Indicates that two individuals serve together as commentators on the same event, program, or broadcast.
-
C.
majorCommentator
Indicates that one entity serves as a primary or highly influential commentator or interpreter of the other entity.
-
D.
commentatorCountry
Indicates the country with which a commentator is associated, such as their nationality or the nation they represent.
-
E.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
- 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_69e2ff26c50481908bc82e799c9e6587 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 18, 2026, 6:04 a.m.