Triple

T21490676
Position Surface form Disambiguated ID Type / Status
Subject Foundation (TV series) E530226 entity
Predicate star P23405 FINISHED
Object Kulvinder Ghir 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: Kulvinder Ghir | Statement: [Foundation (TV series), star, Kulvinder Ghir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kulvinder Ghir
Context triple: [Foundation (TV series), star, Kulvinder Ghir]
  • A. Kulvinder Ghir chosen
    Kulvinder Ghir is a British actor and comedian best known as a core cast member and writer of the groundbreaking sketch show "Goodness Gracious Me."
  • B. Narinder Hargun
    Narinder Hargun is a Bermudian jurist who has served as the Chief Justice and head of the judiciary of Bermuda.
  • C. Sukhvinder Jawanda
    Sukhvinder Jawanda is a troubled, bullied teenager in J.K. Rowling’s novel "The Casual Vacancy," whose struggles with self-harm, family pressure, and identity form a key emotional thread in the story.
  • D. Amandeep Singh
    Amandeep Singh is an actor who appeared in the 2018 biographical thriller film "Hotel Mumbai."
  • E. Balwinder Sandhu
    Balwinder Sandhu is a former Indian cricketer best known for his crucial swing bowling and key lower-order runs in India's 1983 Cricket World Cup triumph.
  • 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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea3aee648190ba845f0c7d8110dd completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:22 p.m.