Triple
T7927766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DIY Network |
E184109
|
entity |
| Predicate | replacedBy |
P101
|
FINISHED |
| Object | Magnolia Network |
E447679
|
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: Magnolia Network | Statement: [DIY Network, replacedBy, Magnolia Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magnolia Network Context triple: [DIY Network, replacedBy, Magnolia Network]
-
A.
Magnolia Network
chosen
Magnolia Network is a lifestyle television network and streaming brand founded by Chip and Joanna Gaines, featuring home renovation, design, cooking, and family-oriented programming.
-
B.
Sunshine Network
Sunshine Network is a regional sports television network known for broadcasting local and collegiate sporting events.
-
C.
Mosaic Communications Corporation
Mosaic Communications Corporation was the original name of the company that became Netscape Communications, an early pioneer in commercial web browser development.
-
D.
Aurora Network
Aurora Network is a European university alliance focused on collaboration in research, education, and innovation among its member institutions.
-
E.
Mosaic Media Group
Mosaic Media Group is an American entertainment company known for producing and managing film and television projects through its work with prominent Hollywood talent.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aafdb5c8190b7f2ce5349305f78 |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bfd08e88190bc6b2d77a148ae57 |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:07 p.m.