Triple
T36164298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WrestleMania 23 |
E1045956
|
entity |
| Predicate | MelinaVsAshleyTitle |
P184979
|
FINISHED |
| Object | WWE Women’s Championship |
—
|
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 Women’s Championship | Statement: [WrestleMania 23, MelinaVsAshleyTitle, WWE Women’s Championship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MelinaVsAshleyTitle Context triple: [WrestleMania 23, MelinaVsAshleyTitle, WWE Women’s Championship]
-
A.
masvidalAskrenResult
Indicates the outcome or result of the fight between Jorge Masvidal and Ben Askren.
-
B.
missCongenialityWinner
Indicates that the subject is the winner of a "Miss Congeniality" title or award in a given context or event.
-
C.
Diva
Indicates that an entity is characterized as a celebrated but temperamental performer, often demanding special treatment or attention in their professional context.
-
D.
SMASH Academy
Indicates a relationship where an entity is associated with or belongs to SMASH Academy, typically as a participant, member, or affiliate of that program or institution.
-
E.
isPlaymateOf
Indicates a reciprocal relationship where two entities regularly engage in play or recreational activities together.
- F. None of above. chosen
Provenance (4 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.