Triple

T17426894
Position Surface form Disambiguated ID Type / Status
Subject Zoey Barkow E423760 entity
Predicate portrayedBy P1507 FINISHED
Object Merritt Wever 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: Merritt Wever | Statement: [Zoey Barkow, portrayedBy, Merritt Wever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merritt Wever
Context triple: [Zoey Barkow, portrayedBy, Merritt Wever]
  • A. Merritt Wever chosen
    Merritt Wever is an American actress known for her acclaimed roles in television series such as "Nurse Jackie," "Godless," and "Unbelievable," for which she has received multiple Emmy Awards.
  • B. Betty Gilpin
    Betty Gilpin is an American actress best known for her Emmy-nominated role in the Netflix series "GLOW" and performances in films such as "The Hunt" and "The Tomorrow War."
  • C. Lily Rabe
    Lily Rabe is an American actress known for her versatile performances in film, television, and theater, particularly for her recurring roles in the anthology series "American Horror Story."
  • D. Melissa George
    Melissa George is an Australian actress known for her roles in both film and television, including prominent performances in horror and thriller genres.
  • E. Eliza Scanlen
    Eliza Scanlen is an Australian actress known for her roles in film and television, including prominent performances in projects like "Sharp Objects" and "Little Women."
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448fcbf54819091babed0b9b05716 completed April 19, 2026, 3:16 a.m.
Created at: April 10, 2026, 5:46 a.m.