Triple

T12049240
Position Surface form Disambiguated ID Type / Status
Subject Rosalind Shand E286869 entity
Predicate grandmotherOf P3524 FINISHED
Object Ayesha Shand E857126 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: Ayesha Shand | Statement: [Rosalind Shand, grandmotherOf, Ayesha Shand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayesha Shand
Context triple: [Rosalind Shand, grandmotherOf, Ayesha Shand]
  • A. Ayesha Shand chosen
    Ayesha Shand is the daughter of the late British conservationist and travel writer Mark Shand, known for his work with Asian elephants and founding the charity Elephant Family.
  • B. Ayesha Foyez
    Ayesha Foyez was the mother of renowned Bangladeshi writer, filmmaker, and dramatist Humayun Ahmed.
  • C. Fara Sherazi
    Fara Sherazi is a fictional CIA analyst character from the television series "Homeland," portrayed by actress Nazanin Boniadi.
  • D. Khadeeja Haq
    Khadeeja Haq is a Pakistani development expert and activist known for her work on poverty alleviation and human development, including leadership roles at the Mahbub ul Haq Human Development Centre.
  • E. Moneeza Hashmi
    Moneeza Hashmi is a Pakistani television producer and media professional known for her contributions to public broadcasting and cultural programming.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dd140a48190844f64c228e6367a completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.