Triple

T6628291
Position Surface form Disambiguated ID Type / Status
Subject The Flight Attendant E149856 entity
Predicate executiveProducer P7225 FINISHED
Object Marlene King E433609 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: Marlene King | Statement: [The Flight Attendant, executiveProducer, Marlene King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlene King
Context triple: [The Flight Attendant, executiveProducer, Marlene King]
  • A. Marlene King chosen
    Marlene King is an American television writer and producer best known as the creator and showrunner of the teen mystery-drama series "Pretty Little Liars."
  • B. Alyce King
    Alyce King was an American singer best known as one of the King Sisters, a popular vocal group active in the mid-20th century.
  • C. Maxine King
    Maxine King was a member of the popular American vocal group The King Sisters, known for their close-harmony performances in the mid-20th century.
  • D. Peggy King
    Peggy King is an American jazz and pop singer and television personality who gained prominence in the 1950s for her recordings and frequent TV and film appearances.
  • E. Marilyn King
    Marilyn King was an American singer best known as a member of the popular vocal group The King Sisters, prominent in mid-20th-century music and television.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa2e4a48190ba3c70013bab14f2 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f7450dc8190881a9347b8b9475f completed March 28, 2026, 1:31 a.m.
Created at: March 27, 2026, 1:59 p.m.