Triple

T7798200
Position Surface form Disambiguated ID Type / Status
Subject Frank Gresham E180353 entity
Predicate associatedWith P37 FINISHED
Object Mary Thorne E112599 NE FINISHED

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: [Frank Gresham, associatedWith, Mary Thorne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Thorne
Context triple: [Frank Gresham, associatedWith, 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. Honeysuckle Weeks
    Honeysuckle Weeks is a British actress best known for playing Samantha Stewart in the television detective drama series "Foyle's War."
  • C. Sarah Jane Emery
    Sarah Jane Emery was the wife of Hannibal Hamlin, who served as vice president of the United States under Abraham Lincoln.
  • D. Ella Garth
    Ella Garth is the central protagonist of the film "Wild River," around whom the story’s emotional and dramatic conflicts revolve.
  • E. Bethany Black
    Bethany Black is a British stand-up comedian and actress known for her groundbreaking work as one of the first openly trans women in UK comedy and for roles in television series such as Cucumber and Doctor Who.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae984185881908117f9f549ffc443 completed March 30, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a18014c8190be64130bfb856e10 completed March 31, 2026, 5:22 a.m.
Created at: March 30, 2026, 4:32 p.m.