Triple

T7927773
Position Surface form Disambiguated ID Type / Status
Subject DIY Network E184109 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: [DIY Network, hasSisterChannel, HGTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HGTV
Context triple: [DIY 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. This Old House
    "This Old House" is a country song written by Thom Schuyler, best known as a reflective narrative about aging, change, and the passage of time.
  • D. TV Garden
    TV Garden is an influential video art installation by Nam June Paik that immerses television sets among live plants to explore the relationship between nature, technology, and media culture.
  • E. 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.
  • 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.