Triple
T24344701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Rangers vs. Arizona Diamondbacks |
E613606
|
entity |
| Predicate | umpiringCrewChief |
P6421
|
FINISHED |
| Object | Bill Miller |
—
|
NE NERFINISHED |
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: Bill Miller | Statement: [Texas Rangers vs. Arizona Diamondbacks, umpiringCrewChief, Bill Miller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: umpiringCrewChief Context triple: [Texas Rangers vs. Arizona Diamondbacks, umpiringCrewChief, Bill Miller]
-
A.
umpireCrewChief
chosen
Indicates that one entity serves as the crew chief (lead umpire) for a particular umpire crew.
-
B.
hasCrewChief
Indicates that an entity is associated with a specific crew chief who is responsible for leading or supervising its crew.
-
C.
crewChief
Indicates that one person serves as the lead or supervising crew chief responsible for directing and managing another person or group in an operational context.
-
D.
leagueOfUmpireCrewChief
Indicates that a given umpire crew chief is associated with, or works within, a particular sports league.
-
E.
umpireCrewRole
Indicates the specific role or position an umpire holds within an umpire crew during an event or game.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29328b0288190a580939e8863b0c2 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:58 a.m.