Triple

T22094045
Position Surface form Disambiguated ID Type / Status
Subject My Life as a Dog E545978 entity
Predicate starring P1507 FINISHED
Object Melinda Kinnaman 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: Melinda Kinnaman | Statement: [My Life as a Dog, starring, Melinda Kinnaman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melinda Kinnaman
Context triple: [My Life as a Dog, starring, Melinda Kinnaman]
  • A. Melinda Kinnaman chosen
    Melinda Kinnaman is an American-Swedish actress known for her work in Swedish film, television, and theatre, including her breakthrough role in the film "My Life as a Dog."
  • B. Melinda Gordon
    Melinda Gordon is the protagonist of the television series "Ghost Whisperer," a woman who can see and communicate with spirits to help them resolve unfinished business and cross over.
  • C. Melinda Katz
    Melinda Katz is an American politician and attorney who has served as the Queens County District Attorney in New York City.
  • D. Melinda Markey
    Melinda Markey is an American actress known for her role in the biographical sports film "The Bob Mathias Story."
  • E. Melinda Dillon
    Melinda Dillon was an American actress best known for her Oscar-nominated role in "Close Encounters of the Third Kind" and for playing the mother in the holiday classic "A Christmas Story."
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e766388190aad1039fe0849771 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.