Triple
T24734631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1994 Major League Baseball season |
E618376
|
entity |
| Predicate | mvpAwardAL |
P157061
|
FINISHED |
| Object | not awarded |
—
|
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: not awarded | Statement: [1994 Major League Baseball season, mvpAwardAL, not awarded]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mvpAwardAL Context triple: [1994 Major League Baseball season, mvpAwardAL, not awarded]
-
A.
ALMVPYear
Indicates the year in which a player received the American League Most Valuable Player (MVP) award.
-
B.
MVPTypeAward
Indicates that an entity has received a specific type or category of Most Valuable Player (MVP) award.
-
C.
MVPawardsWon
Indicates the number of Most Valuable Player (MVP) awards that an entity has received.
-
D.
MVPawardYear
Indicates the year in which an entity received a Most Valuable Player (MVP) award.
-
E.
MVPrecord
Indicates that an entity holds the record for having won the Most Valuable Player (MVP) award the greatest number of times (or in a notable record-setting manner).
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410a001788190a457e41f53aaf90c |
completed | May 1, 2026, 2:32 a.m. |
Created at: April 18, 2026, 4:03 a.m.