Triple
T24203264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Elite Wrestling |
E600034
|
entity |
| Predicate | prominentRival |
P22658
|
FINISHED |
| Object | WWE |
—
|
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: WWE | Statement: [All Elite Wrestling, prominentRival, WWE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prominentRival Context triple: [All Elite Wrestling, prominentRival, WWE]
-
A.
rivalOf
chosen
Indicates a relationship in which two entities compete against or oppose each other, often seeking advantage in the same domain or objective.
-
B.
hadPrimaryRivalry
Indicates that one entity was the main or most significant rival of another entity.
-
C.
rivalryFocus
Indicates a relationship in which one entity is the primary target or center of another entity’s competitive or adversarial rivalry.
-
D.
rivalryBasis
Indicates the underlying reason, cause, or grounds on which a rivalry between entities is based.
-
E.
politicalRivalOf
Indicates a relationship in which two political actors or groups compete against or oppose each other for power, influence, or office.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca2d6708190ba20d00870d0af49 |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:37 p.m.