Triple
T24560239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1977 MLB All-Star Game |
E607628
|
entity |
| Predicate | ALStartingSecondBaseman |
P99899
|
FINISHED |
| Object | Willie Randolph |
—
|
NE NERFINISHED |
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: Willie Randolph | Statement: [1977 MLB All-Star Game, ALStartingSecondBaseman, Willie Randolph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ALStartingSecondBaseman Context triple: [1977 MLB All-Star Game, ALStartingSecondBaseman, Willie Randolph]
-
A.
americanLeagueStartingSecondBaseman
chosen
Indicates that the subject served as the starting second baseman for a team in Major League Baseball’s American League.
-
B.
secondBaseman
Indicates that an entity plays the defensive position of second baseman in baseball relative to a team or game.
-
C.
nationalLeagueStartingSecondBaseman
Indicates that the subject is the starting second baseman for a team in Major League Baseball’s National League.
-
D.
AmericanLeagueStartingShortstop
Indicates that the subject is the starting shortstop for a team in Major League Baseball’s American League.
-
E.
nationalLeagueStartingThirdBaseman
Indicates that the subject is the starting third baseman for a team in Major League Baseball’s National League.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f57a7c8190a0eb8d6d6ef6ae61 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:28 a.m.