Triple
T682673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chase Utley |
E13215
|
entity |
| Predicate | batsAndThrows |
P8297
|
FINISHED |
| Object | left-handed batter, right-handed thrower |
—
|
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: left-handed batter, right-handed thrower | Statement: [Chase Utley, batsAndThrows, left-handed batter, right-handed thrower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: batsAndThrows Context triple: [Chase Utley, batsAndThrows, left-handed batter, right-handed thrower]
-
A.
bats
Indicates that one entity hits or strikes another entity, typically using a bat or similar implement.
-
B.
throwingHand
chosen
Indicates which hand (left or right) an entity primarily uses to throw.
-
C.
winnerBats
Indicates that the entity identified as the winner performs the action of batting.
-
D.
ballType
Indicates the specific category or kind of ball associated with an entity.
-
E.
catches
Indicates that one entity successfully seizes, intercepts, or takes hold of another entity, often stopping its motion or preventing its escape.
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a070d4c08190a510a8f9c1ae8076 |
completed | March 1, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69a49d1f0ccc819088c1527beabcb718 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.