Triple
T24202793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheamus |
E600023
|
entity |
| Predicate | MoneyInTheBankWinner |
P102924
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Sheamus, MoneyInTheBankWinner, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MoneyInTheBankWinner Context triple: [Sheamus, MoneyInTheBankWinner, 2015]
-
A.
MoneyInTheBankLadderMatchWinner
chosen
Indicates that the subject is the winner of a Money in the Bank ladder match.
-
B.
MoneyInTheBankCashInResult
Indicates the outcome that occurs when a Money in the Bank contract is cashed in, specifying what result that cash-in leads to (e.g., win, loss, title change).
-
C.
KellyCupWinner
Indicates the entity that won the Kelly Cup in a given season or year.
-
D.
GoldenGloveWinner
Indicates that the subject has been awarded the Golden Glove (or Gold Glove) honor, recognizing superior defensive performance in their sport.
-
E.
winnerDam
Indicates that the subject entity is the dam (mother) of an offspring that has won a specified race or competition.
- 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, 11:36 p.m.