Triple

T11473061
Position Surface form Disambiguated ID Type / Status
Subject Ken Lowe E271956 entity
Predicate genre P14 FINISHED
Object home and garden television 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: home and garden television | Statement: [Ken Lowe, genre, home and garden television]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: home and garden television
Context triple: [Ken Lowe, genre, home and garden television]
  • A. 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.
  • B. HGTV chosen
    HGTV is an American cable television network focused on home improvement, real estate, and interior design programming.
  • C. House & Home
    House & Home is a lifestyle and property-focused section of the Financial Times Weekend edition, covering topics such as real estate, interior design, architecture, and domestic culture.
  • D. HGTV Canada
    HGTV Canada is a Canadian specialty television channel focused on home improvement, renovation, and real estate programming.
  • E. DIY Network
    DIY Network was an American cable television channel focused on do-it-yourself home improvement, renovation, and repair programming.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294b3f388190a587c358313f7260 completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e95a479c81909a330c9721bd3902 completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:35 p.m.