Triple

T3785314
Position Surface form Disambiguated ID Type / Status
Subject Yellowjackets E85515 entity
Predicate portrayedBy P1507 FINISHED
Object Melanie Lynskey E230366 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: Melanie Lynskey | Statement: [Yellowjackets, portrayedBy, Melanie Lynskey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melanie Lynskey
Context triple: [Yellowjackets, portrayedBy, Melanie Lynskey]
  • A. Melanie Lynskey chosen
    Melanie Lynskey is a New Zealand actress known for her nuanced performances in independent films and television series such as "Heavenly Creatures," "Yellowjackets," and "Togetherness."
  • B. Annabelle Wallis
    Annabelle Wallis is an English actress known for her roles in television series like Peaky Blinders and films such as Annabelle and The Mummy.
  • C. Tamsin Olivier
    Tamsin Olivier is the daughter of acclaimed British actress Joan Plowright and legendary actor Laurence Olivier.
  • D. Abbie Cornish
    Abbie Cornish is an Australian actress known for her critically acclaimed performances in films such as "Bright Star," "Somersault," and "Sucker Punch," as well as her work in television.
  • E. Alison Pill
    Alison Pill is a Canadian actress known for her versatile performances in film, television, and theater, including prominent roles in projects like "Scott Pilgrim vs. the World," "The Newsroom," and "Star Trek: Picard."
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3dd80f08190a1704521a764e22c completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5336b8d308190a1886ab637173b35 completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:13 p.m.