Triple
T29037978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WrestleMania 36 |
E737916
|
entity |
| Predicate | womenTitleMatchWinner |
P85432
|
FINISHED |
| Object | Becky Lynch |
—
|
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: Becky Lynch | Statement: [WrestleMania 36, womenTitleMatchWinner, Becky Lynch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenTitleMatchWinner Context triple: [WrestleMania 36, womenTitleMatchWinner, Becky Lynch]
-
A.
associatedWomanOfVictory
Indicates a relationship in which a woman is connected or linked to a particular victory, such as by contributing to, representing, or being honored in relation to that victory.
-
B.
winnerTitle
Indicates the formal title or designation awarded to the entity that wins a particular competition, contest, or event.
-
C.
winnerGender
Indicates the gender of the entity that is the winner in a given event or competition.
-
D.
wonNCAAWomenCollegeWorldSeriesTitle
Indicates that one entity secured the championship title in the NCAA Women's College World Series.
-
E.
titleWinner
chosen
Indicates that an entity has won a specific title, championship, or formal award.
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 10 a.m.