Triple
T35402186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Skinner |
E1023263
|
entity |
| Predicate | seriesBestKnownFor |
P110087
|
FINISHED |
| Object | NASCAR Craftsman Truck Series |
—
|
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: NASCAR Craftsman Truck Series | Statement: [Mike Skinner, seriesBestKnownFor, NASCAR Craftsman Truck Series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesBestKnownFor Context triple: [Mike Skinner, seriesBestKnownFor, NASCAR Craftsman Truck Series]
-
A.
seasonBestKnownFor
Indicates the work, achievement, or characteristic for which a particular season is most notably recognized.
-
B.
nowKnownFor
Indicates that an entity is currently recognized or notable for a particular role, attribute, achievement, or association.
-
C.
segmentKnownFor
chosen
Indicates that a specific segment or portion of something is recognized or notable for a particular characteristic, feature, or association.
-
D.
alsoKnownFor
Indicates that an entity is additionally recognized or noted for another work, role, achievement, or characteristic beyond its primary association.
-
E.
formerlyKnownFor
Indicates that an entity was previously recognized or notable for a particular role, attribute, or activity, but is no longer primarily associated with it.
- 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: May 3, 2026, 4:03 p.m.