Triple
T12278097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comedians in Cars Getting Coffee |
E292643
|
entity |
| Predicate | originalNetwork |
P2594
|
FINISHED |
| Object | Crackle |
E965716
|
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: Crackle | Statement: [Comedians in Cars Getting Coffee, originalNetwork, Crackle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crackle Context triple: [Comedians in Cars Getting Coffee, originalNetwork, Crackle]
-
A.
Crackle
Crackle is a Shaman class spell card in Hearthstone that deals a random amount of damage and can be enhanced by spell damage effects.
-
B.
Crackle
chosen
Crackle is a free, ad-supported streaming service offering movies, TV shows, and original programming online.
-
C.
Cold and the Crackle
Cold and the Crackle is an album by Australian ambient/world music group Not Drowning, Waving, showcasing their atmospheric fusion of rock, electronic, and global influences.
-
D.
Crumble
"Crumble" is a track featured on the comedy album or show "Laugh Track," likely contributing to its humorous or thematic narrative.
-
E.
Snitter
Snitter is a small rural village in Northumberland, England, known for its scenic setting within the Coquet Valley near the Northumberland National Park.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf06cf08190ac8671dd9bbed03d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6d72d081908c8697257df712f1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.