Triple
T10290235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double X |
E241342
|
entity |
| Predicate | hasBatsAndThrows |
P24095
|
FINISHED |
| Object | right-right |
—
|
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: right-right | Statement: [Double X, hasBatsAndThrows, right-right]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBatsAndThrows Context triple: [Double X, hasBatsAndThrows, right-right]
-
A.
canBeCaughtWith
Indicates that one entity is capable of being captured, obtained, or discovered using another specified entity or method.
-
B.
batsOrThrowsInCollege
chosen
Indicates that, in a college sports context, the person’s batting side and/or throwing arm is specified.
-
C.
hasCatchFeature
Indicates that one entity possesses or is characterized by a specific catch-related feature or mechanism.
-
D.
MVPThrows
Indicates that a most valuable player (MVP) performs a throwing action toward or involving another entity.
-
E.
hasException
Indicates that a general rule, process, or condition does not apply in a particular case due to a specified exception.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:41 a.m.