Triple
T14874494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cozi TV |
E349829
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Cozi |
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 | Statement: [Cozi TV, hasAbbreviation, Cozi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cozi Context triple: [Cozi TV, hasAbbreviation, Cozi]
-
A.
Cozi
Cozi is a musical artist best known for collaborating on the song "Pop Life."
-
B.
Cozi TV
chosen
Cozi TV is an American digital multicast television network specializing in classic television series and nostalgic programming.
-
C.
Coop
Coop is a central character in the work "Divisadero," around whom much of the story’s emotional and narrative focus revolves.
-
D.
Orobii
The Orobii were an ancient Celtic people of northern Italy, inhabiting the area around modern Bergamo in Cisalpine Gaul.
-
E.
Snuggle
Snuggle is a popular brand of fabric softener and dryer sheets known for its cuddly bear mascot and focus on softness and fresh scent.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e3e5d48190a132f2cf012b01e2 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b52c12481908d0173a2a3ed854b |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.