Triple
T29037976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WrestleMania 36 |
E737916
|
entity |
| Predicate | womenTitleMatch |
P48260
|
FINISHED |
| Object | Becky Lynch vs Shayna Baszler |
—
|
LITERAL FINISHED |
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 vs Shayna Baszler | Statement: [WrestleMania 36, womenTitleMatch, Becky Lynch vs Shayna Baszler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: womenTitleMatch Context triple: [WrestleMania 36, womenTitleMatch, Becky Lynch vs Shayna Baszler]
-
A.
womenTeam
Indicates that the team is composed of women or is designated as a women’s team.
-
B.
conferenceWomen'sSoccer
Indicates that a women's soccer team participates in or is affiliated with a particular athletic conference.
-
C.
womenMainEventParticipants
chosen
Indicates that the referenced entities are participants in a main event specifically designated for women.
-
D.
featuresWomenTeams
Indicates that the subject includes, presents, or involves teams composed of women.
-
E.
hasWomenTagOrTriosLikeTitle
Indicates that the item’s title suggests it involves women or trio-related content, based on specific tags or title patterns.
- 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_69f6603e70308190a25e074c705d1cb0 |
completed | May 2, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69f659d297cc8190b2b962ba30a1edb3 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 10 a.m.