Triple
T24674616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfonso Soriano |
E610946
|
entity |
| Predicate | stolenBaseLeaderLeague |
P82172
|
FINISHED |
| Object | American League |
—
|
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: American League | Statement: [Alfonso Soriano, stolenBaseLeaderLeague, American League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stolenBaseLeaderLeague Context triple: [Alfonso Soriano, stolenBaseLeaderLeague, American League]
-
A.
stolenBaseLeaderSeasonsAL
Indicates that the subject led the American League in stolen bases for one or more seasons.
-
B.
singleSeasonStolenBaseRecord
Indicates that the subject holds the record for the most stolen bases in a single season.
-
C.
ledLeagueInStolenBases
chosen
Indicates that the subject was the league leader in stolen bases for a given season or time period.
-
D.
singleSeasonStolenBaseRecordYear
Indicates the year in which a particular single-season stolen base record was set.
-
E.
stolenBasesInSeason
Indicates the number of bases a player successfully steals during a specific 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_69e2c4d5c2dc8190ac857dea25ec6ce9 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:02 a.m.