Triple

T10353919
Position Surface form Disambiguated ID Type / Status
Subject Q & A E243948 entity
Predicate author P4 FINISHED
Object Vikas Swarup E243948 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: Vikas Swarup | Statement: [Q & A, author, Vikas Swarup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vikas Swarup
Context triple: [Q & A, author, Vikas Swarup]
  • A. Vikas Swarup chosen
    Vikas Swarup is an Indian diplomat and novelist best known for his debut novel "Q & A," which was adapted into the Oscar-winning film "Slumdog Millionaire."
  • B. Vikram Seth
    Vikram Seth is an acclaimed Indian author and poet best known for his epic novel "A Suitable Boy" and his diverse body of work spanning fiction, poetry, and non-fiction.
  • C. Tarun Tejpal
    Tarun Tejpal is an Indian journalist, publisher, and novelist best known as the founder and former editor-in-chief of the investigative news magazine Tehelka.
  • D. Rohinton Mistry
    Rohinton Mistry is an Indian-born Canadian author renowned for his richly detailed novels about Parsi life and modern India, including the acclaimed "A Fine Balance."
  • E. Arun Nayar
    Arun Nayar is an Indian-born British businessman and textile heir known for his high-profile marriage to actress and model Elizabeth Hurley.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e952c878819084e5d7a593a3f9e9 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb749e0c819090aa63ebaada298e completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 11:58 a.m.