Triple

T18116173
Position Surface form Disambiguated ID Type / Status
Subject Marlene King E433609 entity
Predicate name P16 FINISHED
Object Marlene King 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: Marlene King | Statement: [Marlene King, name, Marlene King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlene King
Context triple: [Marlene King, name, 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. Jacqueline King
    Jacqueline King is a British actress best known to many for her recurring role as Sylvia Noble, Donna Noble’s mother, in the revived Doctor Who television series.
  • E. 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.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd67a2481909d27a4a49b095f8c completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.