Triple
T1940900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuffy McInnis |
E41549
|
entity |
| Predicate | fieldingReputation |
P25449
|
FINISHED |
| Object | one of the era’s most reliable first basemen |
—
|
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: one of the era’s most reliable first basemen | Statement: [Stuffy McInnis, fieldingReputation, one of the era’s most reliable first basemen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldingReputation Context triple: [Stuffy McInnis, fieldingReputation, one of the era’s most reliable first basemen]
-
A.
fieldingSpecialty
chosen
Indicates a player's particular area of expertise or primary role when performing defensive (fielding) duties in a sport.
-
B.
baseballAchievement
Indicates that an entity has attained a notable accomplishment, record, or honor specifically within the context of baseball.
-
C.
roleInBaseballHistory
Indicates the specific part or contribution an entity has within the broader narrative or development of baseball history.
-
D.
allStarGameArena
Indicates the arena or venue where an All-Star Game is held.
-
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_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. |
Created at: March 4, 2026, 7:36 p.m.