Triple
T15240970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Set For Life |
E364252
|
entity |
| Predicate | lotteryType |
P49260
|
FINISHED |
| Object | annuity-style game |
—
|
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: annuity-style game | Statement: [Set For Life, lotteryType, annuity-style game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lotteryType Context triple: [Set For Life, lotteryType, annuity-style game]
-
A.
GoldenBallWinner
Indicates that the subject has been awarded the Golden Ball, recognizing them as the best-performing player in a particular football (soccer) tournament or competition.
-
B.
typeOfGambling
chosen
Indicates the specific category or form of gambling activity associated with an entity.
-
C.
MagicWins
Indicates that one entity achieves victory over another through the use of magic or supernatural powers.
-
D.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
-
E.
ballGameType
Indicates the specific kind or category of ball game associated with an event or activity.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007db9a148190aadea8d5f8b6b261 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:13 a.m.