Triple

T9830263
Position Surface form Disambiguated ID Type / Status
Subject Detroit (2017 film) E238763 entity
Predicate starring P1507 FINISHED
Object Kaitlyn Dever E744592 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: Kaitlyn Dever | Statement: [Detroit (2017 film), starring, Kaitlyn Dever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaitlyn Dever
Context triple: [Detroit (2017 film), starring, Kaitlyn Dever]
  • A. Kaitlyn Dever chosen
    Kaitlyn Dever is an American actress known for her acclaimed performances in projects such as "Booksmart," "Short Term 12," and the miniseries "Unbelievable."
  • B. Haley Bennett
    Haley Bennett is an American actress and singer known for her versatile performances in films such as "The Girl on the Train," "The Magnificent Seven," and "Swallow."
  • C. Olivia DeJonge
    Olivia DeJonge is an Australian actress known for her role as Priscilla Presley in Baz Luhrmann’s 2022 biographical film "Elvis."
  • D. Haley Lu Richardson
    Haley Lu Richardson is an American actress known for her emotionally nuanced performances in films such as "The Edge of Seventeen," "Columbus," and "Five Feet Apart," as well as the HBO series "The White Lotus."
  • E. Joey King
    Joey King is an American actress known for her roles in films such as "The Kissing Booth" series, "The Act," and various other television and movie projects.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3297bd88190bf8c53a4ba00e0ae completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5bc17c08190ad094def4fbf9921 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:32 p.m.