Triple
T27133427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1969 National League Cy Young Award |
E681617
|
entity |
| Predicate | winnerWinLossRecord |
P134518
|
FINISHED |
| Object | 25–7 |
—
|
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: 25–7 | Statement: [1969 National League Cy Young Award, winnerWinLossRecord, 25–7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerWinLossRecord Context triple: [1969 National League Cy Young Award, winnerWinLossRecord, 25–7]
-
A.
careerWinLossRecord
Indicates the overall tally of wins and losses an entity has accumulated over the entire span of its career.
-
B.
championWinLossRecord
chosen
Indicates the win–loss performance record of a champion in competitive contexts.
-
C.
mostOverallWinsRecord
Indicates that the subject holds the record for having the greatest total number of wins compared to all others in the relevant context.
-
D.
seasonRecordWins
Indicates the number of games a team has won during a specific season.
-
E.
winnerSeriesRecord
Indicates that one entity holds a winning record over another entity across a series of contests or events.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 9:05 a.m.