Triple
T9228798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Cederstrom |
E221758
|
entity |
| Predicate | umpireUniformNumber |
P2651
|
FINISHED |
| Object | 38 |
—
|
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: 38 | Statement: [Gary Cederstrom, umpireUniformNumber, 38]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: umpireUniformNumber Context triple: [Gary Cederstrom, umpireUniformNumber, 38]
-
A.
umpireCrewRole
Indicates the specific role or position an umpire holds within an umpire crew during an event or game.
-
B.
umpiresProvidedBy
Indicates that one entity supplies or assigns umpires to officiate for another entity or event.
-
C.
umpireCrewSize
Indicates the number of umpires assigned to work together as a crew for a particular game or event.
-
D.
umpires
Indicates that an entity serves as the umpire overseeing, judging, or officiating an event, activity, or interaction involving another entity.
-
E.
jerseyNumber
chosen
Indicates the specific uniform number assigned to and worn by an individual, typically in a sports context.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccdaa1c5b4819081dac6713053a8ae |
completed | April 1, 2026, 8:43 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:29 p.m.