Triple
T10384619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Kellogg |
E244727
|
entity |
| Predicate | typeOfUmpire |
P93909
|
FINISHED |
| Object | professional baseball umpire |
—
|
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: professional baseball umpire | Statement: [Jeff Kellogg, typeOfUmpire, professional baseball umpire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfUmpire Context triple: [Jeff Kellogg, typeOfUmpire, professional baseball umpire]
-
A.
umpires
Indicates that an entity serves as the umpire overseeing, judging, or officiating an event, activity, or interaction involving another entity.
-
B.
umpireCrewRole
Indicates the specific role or position an umpire holds within an umpire crew during an event or game.
-
C.
umpiresProvidedBy
Indicates that one entity supplies or assigns umpires to officiate for another entity or event.
-
D.
umpireCrewChief
Indicates that one entity serves as the crew chief (lead umpire) for a particular umpire crew.
-
E.
refereeNationality
Indicates the country or national affiliation associated with a referee.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a35fb08190ab85b4a8f8dea511 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:04 p.m.