Triple

T20178369
Position Surface form Disambiguated ID Type / Status
Subject Goosebumps (2015 film) E492657 entity
Predicate castMember P1668 FINISHED
Object Amy Ryan 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: Amy Ryan | Statement: [Goosebumps (2015 film), castMember, Amy Ryan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amy Ryan
Context triple: [Goosebumps (2015 film), castMember, Amy Ryan]
  • A. Amy Ryan chosen
    Amy Ryan is an American actress acclaimed for her versatile film, television, and stage performances, including an Oscar-nominated role in "Gone Baby Gone."
  • B. Anne Bancroft
    Anne Bancroft was an acclaimed American actress best known for her Academy Award–winning performance in "The Miracle Worker" and her iconic role as Mrs. Robinson in "The Graduate."
  • C. Kathy Bates
    Kathy Bates is an acclaimed American actress known for her powerful, often intense performances, including her Oscar-winning role in the psychological thriller "Misery."
  • D. Lee Grant
    Lee Grant is an Academy Award–winning American actress and director known for her powerful film and television performances and later work as a documentarian.
  • E. Mary McDonnell
    Mary McDonnell is an American actress known for her acclaimed film and television roles, including her work in dramas and science fiction such as "Dances with Wolves" and "Battlestar Galactica."
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668ed07c8819091bd9ffda237a91c completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.