Triple

T10366214
Position Surface form Disambiguated ID Type / Status
Subject In the Loop E244256 entity
Predicate stars P1956 FINISHED
Object Anna Chlumsky E330420 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: Anna Chlumsky | Statement: [In the Loop, stars, Anna Chlumsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Chlumsky
Context triple: [In the Loop, stars, Anna Chlumsky]
  • A. Anna Chlumsky chosen
    Anna Chlumsky is an American actress best known for her childhood role in "My Girl" and her acclaimed performance as Amy Brookheimer on the HBO comedy series "Veep."
  • B. Gillian Jacobs
    Gillian Jacobs is an American actress best known for playing Britta Perry on the television sitcom "Community."
  • C. Jenna Ushkowitz
    Jenna Ushkowitz is an American actress and singer best known for playing Tina Cohen-Chang on the television series "Glee."
  • D. Caissie Levy
    Caissie Levy is a Canadian stage actress and singer best known for her leading roles in major Broadway and West End musicals, including originating Elsa in Disney’s Frozen on Broadway.
  • E. Cady Huffman
    Cady Huffman is a Tony Award–winning American actress and singer best known for her work in musical theatre, including her acclaimed performance in Mel Brooks’ hit Broadway musical "The Producers."
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e96f25f48190a41c8b0206b9238c completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750c8c7588190a31bac5b774155fe completed April 9, 2026, 7:10 a.m.
Created at: April 6, 2026, noon