Triple

T19648474
Position Surface form Disambiguated ID Type / Status
Subject Maya Erskine E471741 entity
Predicate coCreatedWith P7870 FINISHED
Object Anna Konkle 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 Konkle | Statement: [Maya Erskine, coCreatedWith, Anna Konkle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Konkle
Context triple: [Maya Erskine, coCreatedWith, Anna Konkle]
  • A. Anna Konkle chosen
    Anna Konkle is an American actress, writer, and producer best known for co-creating and starring in the coming-of-age comedy series "PEN15."
  • B. Anna Kuzniar
    Anna Kuzniar was the wife of American film director Anthony Mann, known primarily in relation to his personal life rather than for a public career of her own.
  • C. Nina Siemaszko
    Nina Siemaszko is an American film and television actress known for her supporting roles in movies like "The Haunting of Molly Hartley" and various popular TV series.
  • D. Anna Balicke
    Anna Balicke is a central female character in Bertolt Brecht’s play "Drums in the Night," caught between loyalty to her presumed-dead fiancé and pressure to marry into a more secure, bourgeois life.
  • E. Barbara Kowalcyk
    Barbara Kowalcyk is a food safety advocate and public health expert known for her work to reform food regulation after her young son died from an E. coli infection.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64126cea88190a1a6929f46de4686 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.