Triple
T23995097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Heavyweight Championship (WWE) |
E605166
|
entity |
| Predicate | unificationMatchOpponents |
P116426
|
FINISHED |
| Object | Randy Orton |
—
|
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: Randy Orton | Statement: [World Heavyweight Championship (WWE), unificationMatchOpponents, Randy Orton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unificationMatchOpponents Context triple: [World Heavyweight Championship (WWE), unificationMatchOpponents, Randy Orton]
-
A.
matchOf
Indicates that one entity is a specific match, counterpart, or corresponding instance of another entity within a defined context or set.
-
B.
associatedOpponent
chosen
Indicates that one entity is recognized or designated as an opponent or adversary associated with another entity in a given context.
-
C.
alliancesOfMainOpponent
Indicates that the related entities are allies or supporting partners of the primary opposing party in a given context.
-
D.
wasOpponentOf
Indicates that one entity competed or conflicted against another as an adversary in some contest, game, or confrontation.
-
E.
keyOpponents
Indicates that the subject has primary or most significant opponents identified by the object.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38ec7cc8190b91cfa09f88dacc6 |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:38 p.m.