Triple
T9536152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiki Cuyler |
E230018
|
entity |
| Predicate | battingAverageOver300Seasons |
P17429
|
FINISHED |
| Object | multiple |
—
|
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 | Statement: [Kiki Cuyler, battingAverageOver300Seasons, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battingAverageOver300Seasons Context triple: [Kiki Cuyler, battingAverageOver300Seasons, multiple]
-
A.
battedOver300Seasons
chosen
Indicates that a player achieved a batting average over .300 in one or more seasons.
-
B.
battedHomeRuns30PlusSeason
Indicates that the subject hit 30 or more home runs in a single season.
-
C.
battedOver400Seasons
Indicates that the subject had one or more seasons in which their batting average exceeded .400.
-
D.
careerBattingAverage
Indicates the long-term batting performance of a player, calculated as their total hits divided by total at-bats over their entire career.
-
E.
battingAverage
Indicates the statistical relationship between a batter’s number of hits and official at-bats, expressing how often they successfully get a hit.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98cd6a5c8190835c0910ec38ede3 |
completed | April 1, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69cca56c44f88190a54a5d2a133bb07e |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 8 p.m.