Triple

T19681421
Position Surface form Disambiguated ID Type / Status
Subject The A Circuit E472598 entity
Predicate author P4 FINISHED
Object Catherine Hapka 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: Catherine Hapka | Statement: [The A Circuit, author, Catherine Hapka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catherine Hapka
Context triple: [The A Circuit, author, Catherine Hapka]
  • A. Catherine Hapka chosen
    Catherine Hapka is an American author known for writing and co-writing numerous children's and young adult books, including equestrian-themed novels.
  • B. Diana Pokorny
    Diana Pokorny is a film producer best known for her work on the fantasy adventure movie "Inkheart."
  • C. Maria Likarz
    Maria Likarz was an Austrian designer and artist known for her influential work in textiles, fashion, and graphic design in early 20th-century Vienna.
  • D. Catherine Cappa
    Catherine Cappa, better known as Catherine Scorsese, was an Italian-American actress and the mother of filmmaker Martin Scorsese, noted for her memorable appearances in several of his films.
  • E. Juliana Harkavy
    Juliana Harkavy is an American actress best known for playing Dinah Drake/Black Canary on the television series "Arrow" within the Arrowverse.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bf97348190bc31b00ed4ec6cad completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.