Triple

T7951761
Position Surface form Disambiguated ID Type / Status
Subject Coyote Ugly E184630 entity
Predicate screenwriter P2831 FINISHED
Object Gina Wendkos E661919 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: Gina Wendkos | Statement: [Coyote Ugly, screenwriter, Gina Wendkos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gina Wendkos
Context triple: [Coyote Ugly, screenwriter, Gina Wendkos]
  • A. Gina Wendkos chosen
    Gina Wendkos is an American screenwriter best known for adapting Meg Cabot’s novel into the hit teen film "The Princess Diaries" and writing several other popular romantic comedies.
  • B. Gina Girolamo
    Gina Girolamo is a television producer best known for her executive production work on the post-apocalyptic drama series "The 100."
  • C. Gina Martin
    Gina Martin is one of the children of legendary American singer, actor, and comedian Dean Martin.
  • D. Gina Ruberti
    Gina Ruberti was the wife of Bruno Mussolini, the son of Italian dictator Benito Mussolini.
  • E. Loralee Czuchna
    Loralee Czuchna is best known as the second wife of American actor and comedian Don Knotts.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5c95908190b6ee900d2b324574 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbdf7679881909a14c4786c8e3e76 completed April 1, 2026, 6:40 a.m.
Created at: March 30, 2026, 5:10 p.m.