Triple

T18027126
Position Surface form Disambiguated ID Type / Status
Subject Sean Thornton E431282 entity
Predicate loveInterest P7325 FINISHED
Object Mary Kate Danaher 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: Mary Kate Danaher | Statement: [Sean Thornton, loveInterest, Mary Kate Danaher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Kate Danaher
Context triple: [Sean Thornton, loveInterest, Mary Kate Danaher]
  • A. Mary Kate Danaher chosen
    Mary Kate Danaher is the strong-willed, passionate Irish heroine of the classic John Ford film "The Quiet Man," portrayed by Maureen O'Hara.
  • B. Mary Kate Schellhardt
    Mary Kate Schellhardt is an American actress best known for her role as Ellen Grape in the 1993 film "What's Eating Gilbert Grape."
  • C. Mary-Kate Olsen
    Mary-Kate Olsen is an American actress and fashion designer who rose to fame as a child star alongside her twin sister Ashley in television and film before transitioning into a successful career in high-end fashion.
  • D. Kaitlin Doubleday
    Kaitlin Doubleday is an American actress known for her roles in film and television, including prominent parts on the series "Empire" and "Nashville."
  • E. Rachel Van Dyken
    Rachel Van Dyken is a contemporary American author best known for her popular romance novels and New York Times bestselling series.
  • 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c7be308190af0d77c0df6d94ce completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.