Triple
T34967278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Faut |
E1008434
|
entity |
| Predicate | numberOfNoHitters |
P147663
|
FINISHED |
| Object | at least two no-hitters in AAGPBL |
—
|
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: at least two no-hitters in AAGPBL | Statement: [Jean Faut, numberOfNoHitters, at least two no-hitters in AAGPBL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNoHitters Context triple: [Jean Faut, numberOfNoHitters, at least two no-hitters in AAGPBL]
-
A.
noHitterCount
chosen
Indicates the number of no-hitters a pitcher (or team) has recorded.
-
B.
noHitters
Indicates that a pitcher or team has completed a game without allowing the opposing team any hits.
-
C.
onlyNoHitterInWorldSeriesHistory
Indicates that the subject is the sole pitcher ever to throw a no-hitter in the entire history of the World Series.
-
D.
threwNoHitterFor
Indicates that a pitcher successfully completed a no-hitter game while playing for a specific team.
-
E.
noHitterResult
Indicates that a baseball game concluded as a no-hitter, specifying the outcome of that no-hitter performance.
- 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_69f76dc78a308190a1ac29ad4a9a4895 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.