Triple

T7499355
Position Surface form Disambiguated ID Type / Status
Subject Glass E177218 entity
Predicate portrays P264 FINISHED
Object Anya Taylor-Joy as Casey Cooke E79235 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: Anya Taylor-Joy as Casey Cooke | Statement: [Glass, portrays, Anya Taylor-Joy as Casey Cooke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anya Taylor-Joy as Casey Cooke
Context triple: [Glass, portrays, Anya Taylor-Joy as Casey Cooke]
  • A. Sydney Sweeney
    Sydney Sweeney is an American actress known for her breakout role as Cassie Howard in the HBO drama series "Euphoria" and for her work in both television and film.
  • B. Samara Weaving
    Samara Weaving is an Australian actress known for her roles in film and television, particularly in horror-comedy and thriller projects such as "Ready or Not" and "The Babysitter."
  • C. Anya Taylor-Joy chosen
    Anya Taylor-Joy is an award-winning actress known for her breakout role in "The Queen's Gambit" and performances in films such as "The Witch," "Split," and "Last Night in Soho."
  • D. Katherine Hoult
    Katherine Hoult is known as the spouse of Richard Mather.
  • E. Jessica Lucas
    Jessica Lucas is a Canadian actress known for her roles in film and television, including prominent appearances in projects like the monster movie "Cloverfield."
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f597a0c08190b34fa283a11d98c7 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c900ad081908506a2097f7fd30b completed March 28, 2026, 8:39 p.m.
Created at: March 27, 2026, 3:44 p.m.