Triple
T30325946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wally Berger |
E771338
|
entity |
| Predicate | rookieHomeRunRecord |
P104929
|
FINISHED |
| Object | 38 home runs in 1930 |
—
|
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: 38 home runs in 1930 | Statement: [Wally Berger, rookieHomeRunRecord, 38 home runs in 1930]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rookieHomeRunRecord Context triple: [Wally Berger, rookieHomeRunRecord, 38 home runs in 1930]
-
A.
homeRunRecordHolder
chosen
Indicates that the subject holds the record for the most home runs, typically within a specified league, season, or career context.
-
B.
MLBDebutHit
Indicates that a player recorded at least one base hit in their first Major League Baseball game.
-
C.
homeRunRecordSurpassedBy
Indicates that one entity’s home run record has been exceeded or broken by another entity.
-
D.
homeRunLeaders
Indicates the relationship where certain players are identified as having the highest number of home runs, typically within a given league, season, or time span.
-
E.
homeRunSeason
Indicates that an entity (typically a player) hit a specified number of home runs during a particular season.
- 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_69f22489ee8481909344649bfbb92e83 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6819b68448190bd4f15c7d2bbdd0b |
completed | May 2, 2026, 10:58 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:52 p.m.