Triple

T4614599
Position Surface form Disambiguated ID Type / Status
Subject Fruit, Garden and Home E100836 entity
Predicate followedBy P78 FINISHED
Object Better Homes and Gardens E18720 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: Better Homes and Gardens | Statement: [Fruit, Garden and Home, followedBy, Better Homes and Gardens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Better Homes and Gardens
Context triple: [Fruit, Garden and Home, followedBy, Better Homes and Gardens]
  • A. Better Homes and Gardens chosen
    Better Homes and Gardens is a long-running American lifestyle magazine and brand focused on home décor, gardening, cooking, and family living.
  • B. Good Housekeeping
    Good Housekeeping is a long-running American women’s magazine known for its household advice, product reviews, and the influential Good Housekeeping Seal of approval.
  • C. Ladies’ Home Journal
    Ladies’ Home Journal is a long-running American women’s magazine known for its coverage of home, family, health, and lifestyle topics.
  • D. Rodale
    Rodale is an American publishing company known for producing books and magazines focused on health, wellness, and environmental issues.
  • E. HGTV
    HGTV is an American cable television network focused on home improvement, real estate, and interior design 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59c3d9ec8190a50ef03627dc351d completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69be035629248190a8723b5f1f9e57bc completed March 21, 2026, 2:32 a.m.
Created at: March 20, 2026, 1:12 p.m.