Triple

T5101182
Position Surface form Disambiguated ID Type / Status
Subject Severance E114982 entity
Predicate castMember P1668 FINISHED
Object Patricia Arquette E67684 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: Patricia Arquette | Statement: [Severance, castMember, Patricia Arquette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Arquette
Context triple: [Severance, castMember, Patricia Arquette]
  • A. Patricia Arquette chosen
    Patricia Arquette is an American actress acclaimed for her versatile film and television roles, including award-winning performances in projects like "Medium" and "Boyhood."
  • B. Jacki Weaver
    Jacki Weaver is an Australian actress acclaimed for her work in film, television, and theatre, including her Oscar-nominated performance in "Silver Linings Playbook."
  • C. Melissa Leo
    Melissa Leo is an American actress acclaimed for her powerful character roles in film and television, including her Oscar-winning performance in "The Fighter."
  • D. Gina Gershon
    Gina Gershon is an American actress known for her versatile roles in film, television, and theater, including standout performances in movies like "Bound" and "Showgirls."
  • E. Maria Bello
    Maria Bello is an American actress known for her versatile roles in film and television, including performances in projects like "A History of Violence," "ER," and "NCIS."
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7584ed408190a6d1086588f24faa completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfc467008190ae704139f21edae2 completed March 21, 2026, 5:05 p.m.
Created at: March 20, 2026, 1:40 p.m.