Triple
T7528056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke Snider |
E177945
|
entity |
| Predicate | batted30OrMoreHomeRunsInSeason |
P71270
|
FINISHED |
| Object | multiple seasons |
—
|
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: multiple seasons | Statement: [Duke Snider, batted30OrMoreHomeRunsInSeason, multiple seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: batted30OrMoreHomeRunsInSeason Context triple: [Duke Snider, batted30OrMoreHomeRunsInSeason, multiple seasons]
-
A.
battedHomeRuns30PlusSeason
chosen
Indicates that the subject hit 30 or more home runs in a single season.
-
B.
battedOver300Seasons
Indicates that a player achieved a batting average over .300 in one or more seasons.
-
C.
homeRunSeason
Indicates that an entity (typically a player) hit a specified number of home runs during a particular season.
-
D.
careerHomeRuns
Indicates the total number of home runs an entity has hit over the entire span of their professional career.
-
E.
battedOver400Seasons
Indicates that the subject had one or more seasons in which their batting average exceeded .400.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81cc5748190818443c48c9e3114 |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d6bb808190bdd04499fd3bceb6 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.