Triple
T886877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cy Young |
E19148
|
entity |
| Predicate | shutouts |
P21411
|
FINISHED |
| Object | 76 |
—
|
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: 76 | Statement: [Cy Young, shutouts, 76]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shutouts Context triple: [Cy Young, shutouts, 76]
-
A.
shutoutsInSeries
Indicates the number of games in a series where one side prevented the other from scoring any points.
-
B.
allGamesCompleteGameShutouts
Indicates that every game in the relevant set was a complete game in which the opposing team was held scoreless (a shutout).
-
C.
losingLeague
Indicates that a league is in a losing or disadvantaged position, such as having an overall negative performance or being behind its competitors.
-
D.
losingPitcher
Indicates that the subject is the pitcher who was charged with the loss in a baseball game.
-
E.
careerLosses
Indicates the total number of defeats or losses an entity has accumulated over the course of its entire career.
- 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.