Triple

T22673440
Position Surface form Disambiguated ID Type / Status
Subject The Good Guy E560281 entity
Predicate starring P1507 FINISHED
Object Anna Chlumsky 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: Anna Chlumsky | Statement: [The Good Guy, starring, Anna Chlumsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Chlumsky
Context triple: [The Good Guy, starring, 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. Melissa Bernstein
    Melissa Bernstein is an American television and film producer best known for her work on acclaimed series such as Breaking Bad and Better Call Saul, as well as their related projects.
  • E. 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.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17821daf88190b18a73a222fc22fb completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.