Triple

T21282185
Position Surface form Disambiguated ID Type / Status
Subject Radha Mitchell E524552 entity
Predicate notableRole P22 FINISHED
Object Melinda in Melinda and Melinda 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 in Melinda and Melinda | Statement: [Radha Mitchell, notableRole, Melinda in Melinda and Melinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melinda in Melinda and Melinda
Context triple: [Radha Mitchell, notableRole, Melinda in Melinda and Melinda]
  • A. Melinda and Melinda chosen
    Melinda and Melinda is a 2004 comedy-drama film written and directed by Woody Allen that explores parallel versions of a woman’s life, one comic and one tragic.
  • B. Melinda
    Melinda is a central female character in George Farquhar’s Restoration comedy "The Recruiting Officer," known for her wit, independence, and role in the play’s romantic intrigues.
  • C. Melinda
    Melinda is a feminine given name of Greek origin, commonly used in English-speaking countries.
  • D. Melinda
    Melinda is a young, impressionable girl in the play "Inherit the Wind," serving as a minor character who reflects the town’s attitudes during the famous trial.
  • E. Melinda
    Melinda is a character in the 1975 science fiction film "The Ultimate Warrior," set in a post-apocalyptic New York City.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d249fc8190b0b310467ddeac3c completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:02 p.m.