Triple
T34404955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luisangel Acuña |
E883084
|
entity |
| Predicate | playsInfieldPosition |
P46452
|
FINISHED |
| Object | shortstop |
—
|
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: shortstop | Statement: [Luisangel Acuña, playsInfieldPosition, shortstop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsInfieldPosition Context triple: [Luisangel Acuña, playsInfieldPosition, shortstop]
-
A.
battingPosition
Indicates the specific order or spot in which a player appears in a batting lineup or batting order.
-
B.
positionInBaseball
Indicates the specific defensive role or fielding position that a player occupies on a baseball team.
-
C.
positionPlayedInBaseball
chosen
Indicates the specific defensive role or fielding position that a person plays in a game of baseball.
-
D.
roleInBaseball
Indicates the specific function or position an entity holds within the context of playing or organizing the game of baseball.
-
E.
shortstop
Indicates that an entity plays the defensive infield position of shortstop in baseball, typically positioned between second and third base.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: May 1, 2026, 1:59 a.m.