Triple

T17835154
Position Surface form Disambiguated ID Type / Status
Subject Vicki Lewis E445363 entity
Predicate notableWork P4 FINISHED
Object Home Improvement NE NERFINISHED

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 Improvement | Statement: [Vicki Lewis, notableWork, Home Improvement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Home Improvement
Context triple: [Vicki Lewis, notableWork, Home Improvement]
  • A. Home Improvement chosen
    Home Improvement is a popular 1990s American sitcom starring Tim Allen as a bumbling TV handyman and family man, known for its comedic take on suburban life and DIY culture.
  • B. DIY
    DIY is the commonly used abbreviation for Daerah Istimewa Yogyakarta, a special administrative region and cultural center on the island of Java in Indonesia.
  • C. DIY
    DIY is a self-reliant, independent approach to creating, producing, or repairing things without relying on commercial or institutional support.
  • D. 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.
  • E. Design Home
    Design Home is a mobile game that lets players create and decorate virtual interior spaces using real-life furniture and decor brands.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d271e4481909664897cb789fe4a completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.