Triple
T2587674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL Most Valuable Player Award |
E58043
|
entity |
| Predicate | recordForMostAwardsNumber |
P11369
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [NFL Most Valuable Player Award, recordForMostAwardsNumber, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordForMostAwardsNumber Context triple: [NFL Most Valuable Player Award, recordForMostAwardsNumber, 5]
-
A.
mostAwardsHolder
chosen
Indicates that the subject is the entity that holds the highest number of awards within a given group or context.
-
B.
mostOverallWinsRecord
Indicates that the subject holds the record for having the greatest total number of wins compared to all others in the relevant context.
-
C.
mostNominationsCount
Indicates the highest number of nominations that any entity in the relevant set has received.
-
D.
isAllTimeRecordHolderFor
Indicates that an entity holds the highest or best performance record of all time for a particular category, event, or metric.
-
E.
holdsNHLRecordFor
Indicates that an entity possesses or is credited with a specific National Hockey League (NHL) record in a given category or statistic.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd3f8a3888190889c537e6df07305 |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d19308819089ee942513d567a4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.