Triple
T2693729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freerider |
E58462
|
entity |
| Predicate | numberOfPitchesCategory |
P25242
|
FINISHED |
| Object | over 30 pitches |
—
|
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: over 30 pitches | Statement: [Freerider, numberOfPitchesCategory, over 30 pitches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPitchesCategory Context triple: [Freerider, numberOfPitchesCategory, over 30 pitches]
-
A.
numberOfPitches
chosen
Indicates the total count of pitches involved in a given event, performance, or musical segment.
-
B.
hasPitchType
Indicates that an entity is associated with, or characterized by, a specific type or category of pitch.
-
C.
pitchingStyle
Indicates the characteristic manner or technique with which a pitcher delivers the ball.
-
D.
pitchingDominated
Indicates that one side’s pitching performance overwhelmingly controlled or suppressed the opposing offense.
-
E.
careerInningsPitched
Indicates the total number of innings a player has pitched over the course of their entire career.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0f43b08190a5abd936b14603b7 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.