Triple
T9024557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuffy McInnis |
E216011
|
entity |
| Predicate | fieldingPositionSpecialty |
P25449
|
FINISHED |
| Object | first base defense |
—
|
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: first base defense | Statement: [Stuffy McInnis, fieldingPositionSpecialty, first base defense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldingPositionSpecialty Context triple: [Stuffy McInnis, fieldingPositionSpecialty, first base defense]
-
A.
fieldingSpecialty
chosen
Indicates a player's particular area of expertise or primary role when performing defensive (fielding) duties in a sport.
-
B.
fieldingAbility
Indicates the level or quality of an entity’s skill and effectiveness in performing fielding actions in a game or sport.
-
C.
fielderMittFeature
Indicates that a baseball fielder’s mitt possesses or includes a particular feature or characteristic.
-
D.
battingPosition
Indicates the specific order or spot in which a player appears in a batting lineup or batting order.
-
E.
fieldingCoach
Indicates a coaching relationship where one entity serves as the fielding coach responsible for training and improving another entity’s defensive fielding skills.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7b902c81909fcbdc433a1acf7a |
completed | April 1, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee132f08190940749c7c522e4c1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:07 p.m.