Triple

T20620810
Position Surface form Disambiguated ID Type / Status
Subject The Shack E506691 entity
Predicate castMember P1668 FINISHED
Object Megan Charpentier NE NERFINISHED

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: Megan Charpentier | Statement: [The Shack, castMember, Megan Charpentier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Megan Charpentier
Context triple: [The Shack, castMember, Megan Charpentier]
  • A. Megan Charpentier chosen
    Megan Charpentier is a Canadian actress known for her roles in horror and drama films, including prominent performances in "Mama" and "The Shack."
  • B. Megan Gustafson
    Megan Gustafson is an American professional basketball player and former Iowa Hawkeyes star known for her dominant post play and national player of the year honors in college.
  • C. Megan Stott
    Megan Stott is an American actress best known for her role as Izzy Richardson in the television miniseries "Little Fires Everywhere."
  • D. Megan Fliehr
    Megan Fliehr is the daughter of legendary professional wrestler Ric Flair and the sister of WWE star Charlotte Flair.
  • E. Megan Ferguson
    Megan Ferguson is an American actress known for her work in television comedies and dramas, including a prominent role in the series "The Comedians."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe19ca481908c896bec49a025cd completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.