Triple
T886890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cy Young |
E19148
|
entity |
| Predicate | yearOfPerfectGame |
P21413
|
FINISHED |
| Object | 1904 |
—
|
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: 1904 | Statement: [Cy Young, yearOfPerfectGame, 1904]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfPerfectGame Context triple: [Cy Young, yearOfPerfectGame, 1904]
-
A.
RookieOfTheYearWinner
Indicates that the subject is the recipient of a Rookie of the Year award in a given league, season, or context.
-
B.
firstWorldSeriesChampionship
Indicates that the subject entity won its first World Series championship title in the referenced season or event.
-
C.
worldSeriesTitleYear
Indicates the year in which a particular World Series title was won.
-
D.
CyYoungAwardYear
Indicates the specific year in which a given player received the Cy Young Award.
-
E.
mostWinsByPitcher
Indicates that the pitcher associated with this predicate holds the highest number of recorded wins (victories) compared to all other pitchers in the relevant context.
- 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_69a4939c32488190a7ccd41cf0abb22b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ae787bf081909533082ca013624a |
completed | March 1, 2026, 9:24 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8ff8c48190a33b00acf65c1276 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ae774fac8190b3134d64086d65fe |
completed | March 1, 2026, 9:24 p.m. |
Created at: March 1, 2026, 7:39 p.m.