Triple

T16245429
Position Surface form Disambiguated ID Type / Status
Subject American Horror Story: Coven E394358 entity
Predicate leadActor P1507 FINISHED
Object Evan Peters E322077 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: Evan Peters | Statement: [American Horror Story: Coven, leadActor, Evan Peters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Peters
Context triple: [American Horror Story: Coven, leadActor, Evan Peters]
  • A. Evan Peters chosen
    Evan Peters is an American actor best known for his versatile and often dark roles in the anthology series "American Horror Story" and his Emmy-winning performance as the title character in "Mare of Easttown."
  • B. Ezra Miller
    Ezra Miller is an American actor best known for roles in films such as "The Perks of Being a Wallflower," the "Fantastic Beasts" series, and as the Flash in the DC Extended Universe.
  • C. Declan Whitebloom
    Declan Whitebloom is a British music video director known for his visually polished work with major pop artists.
  • D. Dylan O'Brien
    Dylan O'Brien is an American actor best known for starring in the "Maze Runner" film series and the TV show "Teen Wolf."
  • E. Michael Boatman
    Michael Boatman is an American actor and writer best known for his comedic and dramatic television roles in series such as Spin City and The Good Wife.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24561d250819096f709ea8751fcb9 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee135b881909cc1b6919bc7af29 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.