Triple
T24344291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2006 MLB All-Star Game |
E613596
|
entity |
| Predicate | NLWinningPitcher |
P155779
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [2006 MLB All-Star Game, NLWinningPitcher, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NLWinningPitcher Context triple: [2006 MLB All-Star Game, NLWinningPitcher, none]
-
A.
winningGamePitcher
Indicates that the subject is the pitcher credited with the win in a particular baseball game.
-
B.
game4WinningPitcher
Indicates the relationship between a specific game and the pitcher who was credited with the win in that game.
-
C.
clinchingWinningPitcher
Indicates that the pitcher was the winning pitcher in a game that clinched a series, title, or advancement for their team.
-
D.
game2WinningPitcher
Indicates that one entity is the pitcher who earned the win in the second game of a series or event for the other entity.
-
E.
game1WinningPitcher
Indicates that the subject is the pitcher credited with the win in game 1 of a series or event.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293270c908190872e0ec38f391fa5 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:58 a.m.