Triple

T4951256
Position Surface form Disambiguated ID Type / Status
Subject Krishna Hutheesing E111172 entity
Predicate married name P14292 FINISHED
Object Krishna Hutheesing E111172 NE FINISHED

How this triple was built (3 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: Krishna Hutheesing | Statement: [Krishna Hutheesing, married name, Krishna Hutheesing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krishna Hutheesing
Context triple: [Krishna Hutheesing, married name, Krishna Hutheesing]
  • A. Krishna Hutheesing chosen
    Krishna Hutheesing was an Indian writer and member of the prominent Nehru family, known for her memoirs and biographical works about her relatives and the Indian independence movement.
  • B. Sanjiv Banga
    Sanjiv Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
  • C. Asheem Chandna
    Asheem Chandna is a prominent venture capitalist known for investing in and advising leading enterprise technology and cybersecurity startups.
  • D. Prasanna Puwanarajah
    Prasanna Puwanarajah is a British actor, director, and former NHS doctor known for his work in television, film, and theatre.
  • E. Charanjit Jutla
    Charanjit Jutla is a cryptographer known for his research contributions in theoretical computer science and cryptographic protocols.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: married name
Context triple: [Krishna Hutheesing, married name, Krishna Hutheesing]
  • A. hasMarriedSurname chosen
    Indicates that a person’s current surname is the one they adopted through marriage.
  • B. maidenNameOf
    Indicates that one person’s original family surname before marriage is the maiden name of another person.
  • C. marriedAfter
    Indicates that one marriage occurred later in time than another specified marriage.
  • D. spouseNameAtMarriage
    Indicates the full name a person’s spouse had at the time of their marriage.
  • E. marriedInto
    Indicates that one entity became connected to another’s family or group through marriage, rather than by birth or prior membership.
  • F. None of above.

Provenance (4 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b561ec81908083225269222e96 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81d3d9548190ae0a34549eb88036 completed March 21, 2026, 11:32 a.m.
PD Predicate disambiguation batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:31 p.m.