Triple
T37284476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Larsen's perfect game |
E925492
|
entity |
| Predicate | leftFieldUmpire |
P187694
|
FINISHED |
| Object | Larry Napp |
—
|
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: Larry Napp | Statement: [Don Larsen's perfect game, leftFieldUmpire, Larry Napp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leftFieldUmpire Context triple: [Don Larsen's perfect game, leftFieldUmpire, Larry Napp]
-
A.
leftFielder
Indicates the relationship where an entity serves in the defensive baseball position of left fielder for a team or in a specific game context.
-
B.
startingRightFielder
Indicates that an entity serves as the right fielder in the starting lineup for a team in a particular game or context.
-
C.
eraAsUmpire
Indicates the time period during which an entity served in the role of an umpire.
-
D.
finalOutFielder
Indicates that the specified player is the outfielder who records the final defensive out in a play or game.
-
E.
numberOfOffFieldUmpires
Indicates the count of umpires assigned to officiate a game from positions off the field of play.
- 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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb78c982ac8190846efe8f6209e5d1 |
completed | May 6, 2026, 5:22 p.m. |
Created at: May 3, 2026, 4:16 p.m.