Triple
T12372163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MLB All-Star Game MVP Award |
E295028
|
entity |
| Predicate | hasAdditionalPrizes |
P104834
|
FINISHED |
| Object | automobile for the winner in many years |
—
|
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: automobile for the winner in many years | Statement: [MLB All-Star Game MVP Award, hasAdditionalPrizes, automobile for the winner in many years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdditionalPrizes Context triple: [MLB All-Star Game MVP Award, hasAdditionalPrizes, automobile for the winner in many years]
-
A.
hasGrandPrize
Indicates that an entity possesses, is awarded, or is associated with a grand prize in a given context.
-
B.
hasPrizeMoney
Indicates that an entity awards, offers, or is associated with a specified amount of prize money.
-
C.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
-
D.
hasMultipleWinnersPossible
Indicates that a situation, event, or contest allows for more than one winner to be recognized or selected.
-
E.
hasNoMonetaryPrize
Indicates that the associated event, activity, or recognition does not provide any financial or cash reward.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d9429ff2bc8190b09adf8f57fad451 |
completed | April 10, 2026, 6:34 p.m. |
Created at: April 8, 2026, 9:54 p.m.