Triple

T13564030
Position Surface form Disambiguated ID Type / Status
Subject Alicia Silverstone E323985 entity
Predicate nominatedForWork P6104 FINISHED
Object Miss Match E594866 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: Miss Match | Statement: [Alicia Silverstone, nominatedForWork, Miss Match]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miss Match
Context triple: [Alicia Silverstone, nominatedForWork, Miss Match]
  • A. Miss Match chosen
    Miss Match is an early-2000s American romantic comedy-drama television series about a high-powered divorce lawyer who moonlights as a matchmaker.
  • B. A Perfect Match
    "A Perfect Match" is a pop song by Swedish teen pop group A-Teens, known for its catchy melody and upbeat, dance-oriented production.
  • C. The Perfect Match
    The Perfect Match is a romantic comedy film produced by Flavor Unit Entertainment that follows a commitment-phobic bachelor whose views on love are challenged by an unexpected relationship.
  • D. Blind Date
    Blind Date is a 1987 romantic comedy film starring Bruce Willis and Kim Basinger, directed by Blake Edwards.
  • E. Blind Date
    Blind Date is a popular British television dating game show, best known for being hosted by singer and entertainer Cilla Black.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00bbe848190bb33efe2af528295 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8967288190b822ed1e115f85b2 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:47 p.m.