Triple
T26273390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zack Siler |
E660493
|
entity |
| Predicate | betInvolves |
P27042
|
FINISHED |
| Object | transforming an unpopular classmate into prom queen |
—
|
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: transforming an unpopular classmate into prom queen | Statement: [Zack Siler, betInvolves, transforming an unpopular classmate into prom queen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: betInvolves Context triple: [Zack Siler, betInvolves, transforming an unpopular classmate into prom queen]
-
A.
betting
chosen
Indicates engaging in a wager where one party risks something of value on the outcome of an uncertain event involving another entity.
-
B.
usedInBettingLines
Indicates that something (such as data, statistics, or an event) is employed as a factor or component in determining betting lines or odds.
-
C.
hasBettingStructure
Indicates that there is a specific set of rules or format governing how bets are placed and progressed in a game or wagering context.
-
D.
gamblerInvolved
Indicates that a gambler participates in, is affected by, or is otherwise directly involved in the specified event or situation.
-
E.
typeOfStake
Indicates the specific kind or category of stake or ownership interest that one entity holds in another.
- 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60e3306a08190a53455247fc77796 |
completed | May 2, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 9:53 p.m.