Triple

T18508630
Position Surface form Disambiguated ID Type / Status
Subject TriStar Television E452269 entity
Predicate notableWork P4 FINISHED
Object Mad About You 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: Mad About You | Statement: [TriStar Television, notableWork, Mad About You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mad About You
Context triple: [TriStar Television, notableWork, Mad About You]
  • A. Mad About You chosen
    Mad About You is a popular 1990s American sitcom that follows the everyday lives and relationship of a married couple in New York City, known for its witty dialogue and strong lead performances.
  • B. Mad About You
    "Mad About You" is a 1986 pop song by American singer Belinda Carlisle, released as one of her early solo hits after leaving the Go-Go's.
  • C. Nobody but You
    "Nobody but You" is a country duet by Blake Shelton and Gwen Stefani that became a popular romantic hit upon its release in 2020.
  • D. Mad Love
    Mad Love is a 2010s American television series that blends romantic comedy with ensemble relationship drama set in New York City.
  • E. Mad Love
    "Mad Love" is a 1935 psychological horror film starring Peter Lorre (credited as László Löwenstein), known for its macabre tale of obsession and surgical mutilation.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53344c6b081908e780ed5c815a766 completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.