Triple
T15883858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WrestleMania 31 |
E385139
|
entity |
| Predicate | MoneyInTheBankCashInResult |
P120916
|
FINISHED |
| Object | successful |
—
|
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: successful | Statement: [WrestleMania 31, MoneyInTheBankCashInResult, successful]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MoneyInTheBankCashInResult Context triple: [WrestleMania 31, MoneyInTheBankCashInResult, successful]
-
A.
MoneyInTheBankLadderMatchWinner
Indicates that the subject is the winner of a Money in the Bank ladder match.
-
B.
prizeMoneyCurrency
Indicates the currency in which the prize money is denominated or paid.
-
C.
hasPrizeMoney
Indicates that an entity awards, offers, or is associated with a specified amount of prize money.
-
D.
equalPrizeMoneySince
Indicates that the prize money awarded has been the same for the referenced parties starting from a specific point in time.
-
E.
topMoneyListEarnersReceive
Indicates that entities who are among the highest money earners receive a particular benefit, reward, or outcome.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e174da2c2c819099ec46616798245a |
completed | April 16, 2026, 11:46 p.m. |
Created at: April 10, 2026, 4:51 a.m.