Triple
T22451077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dylan Playfair |
E554989
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | YTV (Some Assembly Required) |
—
|
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: YTV (Some Assembly Required) | Statement: [Dylan Playfair, employer, YTV (Some Assembly Required)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YTV (Some Assembly Required) Context triple: [Dylan Playfair, employer, YTV (Some Assembly Required)]
-
A.
YTV
chosen
YTV is a Canadian English-language specialty television channel primarily known for broadcasting children's and youth-oriented programming.
-
B.
Qubo
Qubo was a U.S. children's television network and programming brand known for airing educational and family-friendly animated and live-action series.
-
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.
Spiff TV
Spiff TV is a prominent music video director and producer known for his visually striking work with major hip-hop and Latin artists.
-
E.
Boomerang TV
Boomerang TV is a Spanish television production company known for creating popular scripted series and telenovelas.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ba6a88190a0a79e2c20fa8c08 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.