Triple
T23852158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derryl Cousins |
E592199
|
entity |
| Predicate | numberOfMajorLeagueGamesUmpired |
P19298
|
FINISHED |
| Object | over 4,000 |
—
|
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: over 4,000 | Statement: [Derryl Cousins, numberOfMajorLeagueGamesUmpired, over 4,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMajorLeagueGamesUmpired Context triple: [Derryl Cousins, numberOfMajorLeagueGamesUmpired, over 4,000]
-
A.
numberOfMLBGamesUmpired
chosen
Indicates the total count of Major League Baseball games that a given umpire has officiated.
-
B.
numberOfWorldSeriesUmpired
Indicates the count of World Series games or series that a given umpire has officiated.
-
C.
numberOfOffFieldUmpires
Indicates the count of umpires assigned to officiate a game from positions off the field of play.
-
D.
yearsActiveAsUmpire
Indicates the span of time during which an entity has served or been active in the role of an umpire.
-
E.
worldSeriesUmpiringRecord
Indicates the record of a person's participation as an umpire in World Series games, including details such as years and number of series officiated.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c9887e5c819089437769acf684c4 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:11 p.m.