Triple
T34967279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Faut |
E1008434
|
entity |
| Predicate | numberOfPerfectGames |
P130565
|
FINISHED |
| Object | two perfect games 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: two perfect games in AAGPBL | Statement: [Jean Faut, numberOfPerfectGames, two perfect games in AAGPBL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPerfectGames Context triple: [Jean Faut, numberOfPerfectGames, two perfect games in AAGPBL]
-
A.
numberOfPerfectGamesPitched
chosen
Indicates the count of perfect games that a pitcher has successfully completed.
-
B.
onlyPerfectGameInWorldSeriesHistory
Indicates that the referenced game is the sole perfect game ever pitched in the history of the World Series.
-
C.
perfectGameInnings
Indicates that the referenced innings constitute a perfect game, where no opposing batter successfully reaches base.
-
D.
yearOfPerfectGame
Indicates the specific year in which a perfect game occurred or was achieved.
-
E.
perfectGameHitsAllowed
Indicates the number of hits a pitcher allows while throwing a perfect 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_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.