Triple

T13687198
Position Surface form Disambiguated ID Type / Status
Subject Sophie Winkleman E328161 entity
Predicate relative P37 FINISHED
Object Claudia Winkleman E353900 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: Claudia Winkleman | Statement: [Sophie Winkleman, relative, Claudia Winkleman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claudia Winkleman
Context triple: [Sophie Winkleman, relative, Claudia Winkleman]
  • A. Claudia Winkleman chosen
    Claudia Winkleman is a British television presenter and journalist best known for her distinctive fringe, quick wit, and hosting roles on major BBC entertainment shows.
  • B. Virginie Viard
    Virginie Viard is a French fashion designer best known as the creative director of Chanel, succeeding Karl Lagerfeld in leading the iconic luxury brand.
  • C. Caroline Nantz
    Caroline Nantz is the daughter of renowned American sportscaster Jim Nantz.
  • D. Katie Lee
    Katie Lee is an American cookbook author, food critic, and television personality known for her culinary work and for having been married to musician Billy Joel.
  • E. Claire Lacoste
    Claire Lacoste is a fictional character from the television comedy series "The Grinder."
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc670968881908e2b4fdf656c7285 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944981ec8190be5ff39b7c2c70ab completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.