Triple
T14893887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lew Burdette |
E359818
|
entity |
| Predicate | worldSeriesMVPYear |
P16166
|
FINISHED |
| Object | 1957 |
—
|
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: 1957 | Statement: [Lew Burdette, worldSeriesMVPYear, 1957]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldSeriesMVPYear Context triple: [Lew Burdette, worldSeriesMVPYear, 1957]
-
A.
worldSeriesMVP
chosen
Indicates that the subject was selected as the Most Valuable Player (MVP) of a particular World Series.
-
B.
coWorldSeriesMVPWith
Indicates that two players shared the World Series Most Valuable Player (MVP) award in the same year.
-
C.
MLBAllStarGameMVP
Indicates that the subject was selected as the Most Valuable Player in a particular Major League Baseball All-Star Game.
-
D.
AmericanLeagueMVP
Indicates that the subject has been awarded the Most Valuable Player (MVP) honor in Major League Baseball’s American League for a given season.
-
E.
RobertoClementeAwardYear
Indicates the specific year in which an entity received the Roberto Clemente Award.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f9d10c819091732d7a5a42a682 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:10 a.m.