Triple

T16779273
Position Surface form Disambiguated ID Type / Status
Subject Seahaven E407814 entity
Predicate inhabitant P6481 FINISHED
Object Meryl Burbank 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: Meryl Burbank | Statement: [Seahaven, inhabitant, Meryl Burbank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meryl Burbank
Context triple: [Seahaven, inhabitant, Meryl Burbank]
  • A. Meryl Burbank chosen
    Meryl Burbank is a central character in the film "The Truman Show," portrayed as Truman's wife who secretly works as an actress complicit in the fabricated reality surrounding his life.
  • B. Frances Bavier
    Frances Bavier was an American actress best known for her portrayal of the warm but no-nonsense Aunt Bee on the classic television sitcom "The Andy Griffith Show."
  • C. Barbara Hale
    Barbara Hale was an American actress best known for her Emmy-winning role as legal secretary Della Street on the long-running television series "Perry Mason."
  • D. Betty Roberts
    Betty Roberts is the ambitious and resourceful young scriptwriter and de facto producer at a 1940s Pittsburgh radio station in the television series "Remember WENN."
  • E. Fay Baker
    Fay Baker was an American actress known for her character roles in mid-20th-century film and television, often appearing in dramas and thrillers.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21401b881909bbbc7382e851a90 completed April 18, 2026, 4:32 p.m.
Created at: April 10, 2026, 5:22 a.m.