Triple

T5248048
Position Surface form Disambiguated ID Type / Status
Subject Discovery+ E118511 entity
Predicate contentSource P409 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: [Discovery+, contentSource, Magnolia Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magnolia Network
Context triple: [Discovery+, contentSource, 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b77165c8190bd1ce8a197cef226 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef836d158819092cdd22e0dbc9dae completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:50 p.m.