Triple

T15992728
Position Surface form Disambiguated ID Type / Status
Subject Jasmin Savoy Brown E387874 entity
Predicate portrayed P1668 FINISHED
Object Taissa Turner E387872 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: Taissa Turner | Statement: [Jasmin Savoy Brown, portrayed, Taissa Turner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taissa Turner
Context triple: [Jasmin Savoy Brown, portrayed, Taissa Turner]
  • A. Taissa Turner chosen
    Taissa Turner is a central character in the TV series "Yellowjackets," portrayed as an ambitious, resilient survivor whose traumatic past as a stranded teen soccer player collides with her adult life and political career.
  • B. Carrie Turner
    Carrie Turner was one of the early wives of musician and bandleader Ike Turner, known primarily in relation to his personal life.
  • C. Jessica Dean Turner
    Jessica Dean Turner is an actress known for her role in the television series "Crisis."
  • D. Deborah Anne Mazar
    Deborah Anne Mazar is an American actress known for her sharp-tongued, tough-girl roles in film and television, including notable appearances in "Goodfellas," "Entourage," and "Younger."
  • E. Brianne Tju
    Brianne Tju is an American actress known for her roles in teen and horror television series and films, including the thriller "47 Meters Down: Uncaged."
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15785347081908831b4cbc9a2dd45 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3d3ef2881909213ff608192f1ef completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:54 a.m.