Triple

T20819870
Position Surface form Disambiguated ID Type / Status
Subject Dominion E512543 entity
Predicate castMember P1668 FINISHED
Object Shivani Ghai 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: Shivani Ghai | Statement: [Dominion, castMember, Shivani Ghai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shivani Ghai
Context triple: [Dominion, castMember, Shivani Ghai]
  • A. Shivani Ghai chosen
    Shivani Ghai is a British actress known for her work in television, film, and theatre, including roles in series such as "EastEnders" and "Dominion."
  • B. Sharan Narang
    Sharan Narang is a machine learning researcher known for his work on large-scale natural language processing models, including contributions to the development of the T5 transformer architecture.
  • C. Kavita Rao
    Kavita Rao is a fictional geneticist in the X-Men universe known for developing a controversial "cure" for mutant powers.
  • D. Kaveri Kapur
    Kaveri Kapur is an Indian singer-songwriter and the daughter of filmmaker Shekhar Kapur and actress Suchitra Krishnamoorthi.
  • E. Meenakshi Wadhwa
    Meenakshi Wadhwa is an Indian-American planetary scientist and cosmochemist known for her research on meteorites and the early history of the solar system.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2f6a65481909a0df78616e185e4 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.