Triple
T2506790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Food Network |
E52602
|
entity |
| Predicate | hasSisterChannel |
P6991
|
FINISHED |
| Object | HGTV |
E52601
|
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: HGTV | Statement: [Food Network, hasSisterChannel, HGTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HGTV Context triple: [Food Network, hasSisterChannel, HGTV]
-
A.
HGTV
chosen
HGTV is an American cable television network focused on home improvement, real estate, and interior design programming.
-
B.
DIY Network
DIY Network was an American cable television channel focused on do-it-yourself home improvement, renovation, and repair programming.
-
C.
Better Homes and Gardens
Better Homes and Gardens is a long-running American lifestyle magazine and brand focused on home décor, gardening, cooking, and family living.
-
D.
The Nate Berkus Show
The Nate Berkus Show was a daytime television talk show hosted by interior designer Nate Berkus, focusing on home makeovers, lifestyle advice, and personal inspiration.
-
E.
Fixer Upper
"Fixer Upper" is a comedic musical number from Disney's animated film Frozen, performed by the trolls as they playfully encourage a romantic match between Anna and Kristoff.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1cfeb408190ba8107296310dbfc |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1fa7dbb88190815087416b207b54 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:46 p.m.