Triple

T19428632
Position Surface form Disambiguated ID Type / Status
Subject Greshamsbury Park E486048 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Mary Thorne 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 Thorne | Statement: [Greshamsbury Park, associatedWithCharacter, Mary Thorne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Thorne
Context triple: [Greshamsbury Park, associatedWithCharacter, Mary Thorne]
  • A. Mary Thorne chosen
    Mary Thorne is the gentle, principled heroine of Anthony Trollope’s novel "Doctor Thorne," whose uncertain social status and romantic struggles drive much of the story’s drama.
  • B. Mary Thorne
    Mary Thorne is a film producer best known for her work on Disney’s animated sequel "Cinderella II: Dreams Come True."
  • C. Bella Nash
    Bella Nash is one of the children of Paraguayan filmmaker and philanthropist Alejandra Amarilla and former NBA star Steve Nash.
  • D. Honeysuckle Weeks
    Honeysuckle Weeks is a British actress best known for playing Samantha Stewart in the television detective drama series "Foyle's War."
  • E. Nina Wilde
    Nina Wilde is a fictional archaeologist and adventurer, best known as the protagonist of Andy McDermott’s action-thriller novel series involving ancient mysteries and high-stakes quests.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6321b78d08190b86cef7c60cbb61c completed April 20, 2026, 2:03 p.m.
Created at: April 10, 2026, 1:37 p.m.