Triple
T1940905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuffy McInnis |
E41549
|
entity |
| Predicate | strikeoutRate |
P34190
|
FINISHED |
| Object | very low for his era |
—
|
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: very low for his era | Statement: [Stuffy McInnis, strikeoutRate, very low for his era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strikeoutRate Context triple: [Stuffy McInnis, strikeoutRate, very low for his era]
-
A.
strikeoutsLeader
Indicates that the subject is the player or entity leading others in the number of strikeouts over a specified period or context.
-
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.
homeRunRate
Indicates the frequency at which a player or team hits home runs relative to a specified number of opportunities (such as at-bats, plate appearances, or games).
-
D.
SluggingPercentage
Indicates the rate at which a batter accumulates total bases per at-bat, reflecting their overall power-hitting effectiveness.
-
E.
earnedRunAverage
Indicates the average number of earned runs a pitcher allows per nine innings pitched.
- F. None of above. chosen
Provenance (4 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff25a588190bb4cbc8df9fc6d64 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:36 p.m.