Triple

T22797666
Position Surface form Disambiguated ID Type / Status
Subject Konnie Huq E564292 entity
Predicate relative P37 FINISHED
Object Rupa Huq 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: Rupa Huq | Statement: [Konnie Huq, relative, Rupa Huq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rupa Huq
Context triple: [Konnie Huq, relative, Rupa Huq]
  • A. Rupa Huq chosen
    Rupa Huq is a British Labour Party politician, academic, and writer who has served as the Member of Parliament for Ealing Central and Acton.
  • B. Nasrin Akter
    Nasrin Akter is a Bangladeshi public figure known primarily as the daughter of the legendary film actor Razzak.
  • C. Shahida Rahman
    Shahida Rahman is a notable individual honored as the namesake of Shahida and Waheed Rahman Hall, indicating her significant contributions or standing in her community or institution.
  • D. Sarai Alamgir
    Sarai Alamgir is a town in Punjab, Pakistan, situated along the Jhelum River and known for its strategic location on the historic Grand Trunk Road.
  • E. Sreela Majumdar
    Sreela Majumdar is an Indian actress known for her work in Bengali cinema, particularly in socially and politically themed films.
  • 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cda76448190891c5190e1d75ae0 completed April 29, 2026, 3:36 a.m.
Created at: April 17, 2026, 3:30 p.m.