Triple
T16570444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBC-owned television stations |
E402568
|
entity |
| Predicate | hasDigitalSubchannels |
P82648
|
FINISHED |
| Object | Cozi TV |
E349829
|
NE 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: Cozi TV | Statement: [NBC-owned television stations, hasDigitalSubchannels, Cozi TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cozi TV Context triple: [NBC-owned television stations, hasDigitalSubchannels, Cozi TV]
-
A.
Cozi TV
chosen
Cozi TV is an American digital multicast television network specializing in classic television series and nostalgic programming.
-
B.
Cozi
Cozi is a musical artist best known for collaborating on the song "Pop Life."
-
C.
4Kids TV
4Kids TV was a Saturday morning children’s programming block in the United States known for airing English-dubbed anime and other kids’ shows, particularly on the Fox network in the 2000s.
-
D.
Big Blue House
Big Blue House is the cozy, whimsical home where the characters of the children's television series "Bear in the Big Blue House" live and have their adventures.
-
E.
Coop
Coop is a central character in the work "Divisadero," around whom much of the story’s emotional and narrative focus revolves.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e359580f548190a21afd148bc22d8d |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee8812c81908ef74636bf39d44a |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.