Triple

T12333554
Position Surface form Disambiguated ID Type / Status
Subject Crazy/Beautiful E294022 entity
Predicate editedBy P1954 FINISHED
Object Melissa Kent E158471 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: Melissa Kent | Statement: [Crazy/Beautiful, editedBy, Melissa Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melissa Kent
Context triple: [Crazy/Beautiful, editedBy, Melissa Kent]
  • A. Melissa Kent chosen
    Melissa Kent is a film editor known for her work on feature films such as the romantic comedy "Just Wright."
  • B. Melissa Rivers
    Melissa Rivers is an American television host, producer, and actress best known for her red carpet coverage and for continuing the comedic legacy of her mother, Joan Rivers.
  • C. Jean Kent
    Jean Kent was a British film and television actress best known for her work in 1940s and 1950s cinema, particularly in melodramas and crime dramas.
  • D. Melissa Blake
    Melissa Blake is a television writer and producer known for her work on series such as "Heroes" and "Ghost Whisperer."
  • E. Faith Kent
    Faith Kent is a British actress known for her work in film, television, and theatre, and as the mother of actress Phoebe Nicholls.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6346c06208190b4e39fcbdb6a06fa completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:53 p.m.