Triple
T31751588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferris Fain |
E810435
|
entity |
| Predicate | battingAverageLeaderSeason |
P7543
|
FINISHED |
| Object | 1951 |
—
|
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: 1951 | Statement: [Ferris Fain, battingAverageLeaderSeason, 1951]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battingAverageLeaderSeason Context triple: [Ferris Fain, battingAverageLeaderSeason, 1951]
-
A.
battingAverageCategory
Indicates the classification of an entity’s batting average into a defined performance category (e.g., low, medium, high).
-
B.
battingAverage
Indicates the statistical relationship between a batter’s number of hits and official at-bats, expressing how often they successfully get a hit.
-
C.
battingChampionAmericanLeague
Indicates that the subject was the batting champion (had the highest batting average) in the American League for a given season.
-
D.
ledLeagueInBattingAverage
chosen
Indicates that an entity achieved the highest batting average in a particular league over a specified season or time period.
-
E.
careerBattingAverage
Indicates the long-term batting performance of a player, calculated as their total hits divided by total at-bats over their entire 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 30, 2026, 11:28 p.m.