Triple
T25002033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vince Russo |
E625739
|
entity |
| Predicate | wroteForShow |
P2831
|
FINISHED |
| Object | WCW Thunder |
—
|
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: WCW Thunder | Statement: [Vince Russo, wroteForShow, WCW Thunder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wroteForShow Context triple: [Vince Russo, wroteForShow, WCW Thunder]
-
A.
wroteForBroadway
Indicates that a person created or co-created a written work (such as a script, score, or lyrics) specifically for a Broadway production.
-
B.
workWrittenFor
Indicates that a creative work was specifically composed, produced, or created for a particular person, group, event, purpose, or medium.
-
C.
wroteIn
Indicates that an entity authored or composed something using a particular language, medium, or writing system.
-
D.
screenplayWrittenFor
Indicates that a screenplay was written specifically for a particular film, show, or production.
-
E.
wrote
chosen
Indicates that an entity is the author or creator of a written work involving 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_69e2ff26c50481908bc82e799c9e6587 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 6:05 a.m.