Triple

T10353913
Position Surface form Disambiguated ID Type / Status
Subject Vikas Swarup E243948 entity
Predicate wrote P2831 FINISHED
Object Q & A E243947 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: Q & A | Statement: [Vikas Swarup, wrote, Q & A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Q & A
Context triple: [Vikas Swarup, wrote, Q & A]
  • A. Q & A chosen
    Q & A is a novel by Vikas Swarup that follows a poor Indian waiter who unexpectedly wins a fortune on a quiz show, inspiring the film Slumdog Millionaire.
  • B. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • C. Some Answered Questions
    Some Answered Questions is a central Bahá'í text consisting of recorded talks by ʻAbdu'l‑Bahá that explain key spiritual, philosophical, and scriptural themes of the Bahá'í Faith.
  • D. Ask
    Ask is a small village located in the municipality of Ringerike in Buskerud county, Norway.
  • E. Ask
    Ask was a rebranded version of the Ask Jeeves web search engine, offering general internet search services.
  • 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_69d7951e65948190a25e559ba94be3c7 completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:58 a.m.