Triple

T17862421
Position Surface form Disambiguated ID Type / Status
Subject Vanessa Kensington E446106 entity
Predicate relative P37 FINISHED
Object Mrs. Kensington 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: Mrs. Kensington | Statement: [Vanessa Kensington, relative, Mrs. Kensington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mrs. Kensington
Context triple: [Vanessa Kensington, relative, Mrs. Kensington]
  • A. Mrs. Kensington chosen
    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.
  • B. Miss Froy
    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."
  • C. Mrs. Evans
    Mrs. Evans is the mother of Sam Evans, a character associated with him in their shared narrative context.
  • D. Helga Cranston
    Helga Cranston was a film editor best known for her work on Laurence Olivier’s 1948 adaptation of Shakespeare’s "Hamlet."
  • E. 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."
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e49790ea148190b7a966812d44f430 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.