Triple
T22838153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charge! |
E566001
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Tennis Channel, Inc. |
—
|
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: Tennis Channel, Inc. | Statement: [Charge!, owner, Tennis Channel, Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tennis Channel, Inc. Context triple: [Charge!, owner, Tennis Channel, Inc.]
-
A.
Tennis Channel
chosen
Tennis Channel is a U.S.-based cable and streaming television network dedicated to live tennis coverage, news, analysis, and related racquet sports programming.
-
B.
Turner Sports
Turner Sports is a major American sports media division known for producing and broadcasting high-profile events across networks like TNT, TBS, and truTV.
-
C.
World TeamTennis
World TeamTennis is a professional co-ed tennis league in the United States known for its innovative team-based format and fan-friendly rules.
-
D.
Tennis Canada
Tennis Canada is the national governing body responsible for promoting, organizing, and developing the sport of tennis across Canada.
-
E.
First Serve International
First Serve International is a media production company known for its involvement in animated television projects such as the Marvel series "Wolverine and the X-Men."
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8244dc819089c0a7525fb512ab |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.