Triple
T11238755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Kahnle |
E266013
|
entity |
| Predicate | usesPitchType |
P38697
|
FINISHED |
| Object | fastball |
—
|
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: fastball | Statement: [Tommy Kahnle, usesPitchType, fastball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPitchType Context triple: [Tommy Kahnle, usesPitchType, fastball]
-
A.
hasPitch
Indicates that one entity possesses or is characterized by a specific pitch (such as a tonal, acoustic, or frequency-related property).
-
B.
hasPitchType
chosen
Indicates that an entity is associated with, or characterized by, a specific type or category of pitch.
-
C.
hasPitchLength
Indicates that an entity (such as a field or pitch) is associated with a specific measurement of its length.
-
D.
pitchConvertedTo
Indicates that one pitch has been transformed or translated into another pitch or pitch representation.
-
E.
stripPitch
Indicates removing the pitch or tonal information from an audio signal or sound representation, leaving only non-pitch-related characteristics.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e918375081908c2a7ccb50cbf331 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:30 p.m.