Triple
T34801528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Meusel |
E1003229
|
entity |
| Predicate | battedCleanupBehind |
P43300
|
FINISHED |
| Object | Babe Ruth |
—
|
NE NERFINISHED |
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: Babe Ruth | Statement: [Bob Meusel, battedCleanupBehind, Babe Ruth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: battedCleanupBehind Context triple: [Bob Meusel, battedCleanupBehind, Babe Ruth]
-
A.
battedCleanupFor
Indicates that one entity served as the cleanup hitter (typically batting fourth) in the lineup for a particular team or another entity in a baseball context.
-
B.
battedCleanupInDebut
Indicates that the person was assigned to bat in the cleanup (fourth) position in the batting order in their debut game.
-
C.
battedBehind
chosen
Indicates that one participant took their turn to bat after another participant in a batting order.
-
D.
battedIn
Indicates that one participant caused a run to score in a baseball context, typically by successfully hitting the ball so that a runner crosses home plate.
-
E.
battedBy
Indicates that an entity is the one who performed the batting action on another entity (e.g., a ball being batted by a player).
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77a89c4e88190a048e95d42b4a084 |
completed | May 3, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.