Triple
T23091071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Champ Car World Series |
E575748
|
entity |
| Predicate | televisionPartner |
P833
|
FINISHED |
| Object | Speed Channel |
—
|
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: Speed Channel | Statement: [Champ Car World Series, televisionPartner, Speed Channel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speed Channel Context triple: [Champ Car World Series, televisionPartner, Speed Channel]
-
A.
Speed Channel
chosen
Speed Channel was a U.S. cable television network devoted primarily to motorsports and automotive programming.
-
B.
Metro Channel
Metro Channel is a Philippine lifestyle and entertainment cable television network known for programs on travel, food, fashion, and culture.
-
C.
Super Channel
Super Channel is a Canadian premium television network known for broadcasting a mix of original series, films, and international programming.
-
D.
Star Channel
Star Channel is a Greek free-to-air television network known for broadcasting popular entertainment programs, series, and reality shows.
-
E.
Sky Channel
Sky Channel was the original name of Sky One, a British satellite television channel known for airing a mix of entertainment, drama, and imported US programming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18daa68d48190842e9cb6de31ea79 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.