Triple
T23869581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major League Baseball player |
E592688
|
entity |
| Predicate | mayPlayPosition |
P152325
|
FINISHED |
| Object | pitcher |
—
|
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: pitcher | Statement: [Major League Baseball player, mayPlayPosition, pitcher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayPlayPosition Context triple: [Major League Baseball player, mayPlayPosition, pitcher]
-
A.
playingPosition
Indicates the specific role or position an individual occupies while participating in a game or sport.
-
B.
possiblePosition
chosen
Indicates that a given location or arrangement is a valid or allowable position for the entity within the specified context or constraints.
-
C.
playsInPosition
Indicates that an entity (typically a player) performs or operates in a specific role or position within a game, sport, or activity.
-
D.
settingWithinPlay
Indicates that a particular setting (such as a location or environment) occurs within and is part of a specific play.
-
E.
refersToPositionPlayed
Indicates that one entity specifies or identifies the playing position or role occupied by another entity in a game or sport.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cae7c7f081909f6224f6f8207763 |
completed | April 29, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:14 p.m.