Triple

T8036514
Position Surface form Disambiguated ID Type / Status
Subject Merritt Wever E187121 entity
Predicate name P16 FINISHED
Object Merritt Wever E187121 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: Merritt Wever | Statement: [Merritt Wever, name, Merritt Wever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merritt Wever
Context triple: [Merritt Wever, name, 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 (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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f188e1c8190b92760c91d31f2df completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63cb39a48190b4d987295b5aa1b2 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:22 p.m.