Triple
T5008603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christy Mathewson |
E112557
|
entity |
| Predicate | throwsNoHitters |
P31114
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Christy Mathewson, throwsNoHitters, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: throwsNoHitters Context triple: [Christy Mathewson, throwsNoHitters, 2]
-
A.
threwNoHitterFor
Indicates that a pitcher successfully completed a no-hitter game while playing for a specific team.
-
B.
noHitters
chosen
Indicates that a pitcher or team has completed a game without allowing the opposing team any hits.
-
C.
noHitterOpponent
Indicates that the specified opponent team or player was the team/player against whom a no-hitter was pitched.
-
D.
threwFirstNoHitterForFranchise
Indicates that the subject is the pitcher who recorded the first no-hitter in the history of the specified franchise.
-
E.
threwPerfectGame
Indicates that one entity (typically a pitcher) completed a game without allowing any opposing player to reach base, achieving a perfect game against another entity (typically a team).
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.