Triple
T24734627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1994 Major League Baseball season |
E618376
|
entity |
| Predicate | battingAverageLeaderAL |
P104484
|
FINISHED |
| Object | Paul O’Neill |
—
|
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: Paul O’Neill | Statement: [1994 Major League Baseball season, battingAverageLeaderAL, Paul O’Neill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battingAverageLeaderAL Context triple: [1994 Major League Baseball season, battingAverageLeaderAL, Paul O’Neill]
-
A.
battingChampionAmericanLeague
chosen
Indicates that the subject was the batting champion (had the highest batting average) in the American League for a given season.
-
B.
homeRunLeaderAmericanLeague
Indicates the entity that led the American League in home runs for a given season or time period.
-
C.
battingAverage
Indicates the statistical relationship between a batter’s number of hits and official at-bats, expressing how often they successfully get a hit.
-
D.
battingAverageCategory
Indicates the classification of an entity’s batting average into a defined performance category (e.g., low, medium, high).
-
E.
odiBattingAverage
Indicates the batting average a player has achieved in One Day International (ODI) cricket matches.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:03 a.m.