Triple
T9793872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rickey Henderson |
E237669
|
entity |
| Predicate | MLBStolenBaseRecord |
P20801
|
FINISHED |
| Object | 1406 career stolen bases |
—
|
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: 1406 career stolen bases | Statement: [Rickey Henderson, MLBStolenBaseRecord, 1406 career stolen bases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MLBStolenBaseRecord Context triple: [Rickey Henderson, MLBStolenBaseRecord, 1406 career stolen bases]
-
A.
ledLeagueInStolenBases
Indicates that the subject was the league leader in stolen bases for a given season or time period.
-
B.
singleSeasonStolenBaseRecord
Indicates that the subject holds the record for the most stolen bases in a single season.
-
C.
singleSeasonStolenBaseRecordYear
Indicates the year in which a particular single-season stolen base record was set.
-
D.
stolenBaseLeaderSeasonsAL
Indicates that the subject led the American League in stolen bases for one or more seasons.
-
E.
careerStolenBases
chosen
Indicates the total number of bases a player successfully stole over the entire span of their playing career.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda347b6bc8190a99b7dec1650cd46 |
completed | April 1, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:28 p.m.