Triple

T19008895
Position Surface form Disambiguated ID Type / Status
Subject Gilbert Redman E465163 entity
Predicate associatedWith P37 FINISHED
Object Miss Froy 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: Miss Froy | Statement: [Gilbert Redman, associatedWith, Miss Froy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miss Froy
Context triple: [Gilbert Redman, associatedWith, Miss Froy]
  • A. Miss Froy chosen
    Miss Froy is a seemingly innocuous English governess whose mysterious disappearance aboard a trans-European train drives the suspenseful plot of Alfred Hitchcock’s film "The Lady Vanishes."
  • B. Miss Fritton
    Miss Fritton is the eccentric, anarchic headmistress character from the St Trinian's series, known for her chaotic approach to education and gleeful disregard for convention.
  • C. Golightly
    Golightly is a surname of English origin, most famously associated with the fictional character Holly Golightly from Truman Capote’s novella "Breakfast at Tiffany’s."
  • D. Mrs. Kensington
    Mrs. Kensington is a character from the Austin Powers film series, portrayed as a capable and sophisticated British spy who serves as Austin Powers’ professional partner and love interest in the 1960s.
  • E. Rose Mignon
    Rose Mignon is a fictional character from the manga and anime series "Nana," which follows the intertwined lives of two young women who share the same name.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a72aa88190a04f13cd14ee77d4 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:02 p.m.