Triple

T22356324
Position Surface form Disambiguated ID Type / Status
Subject Yuvraj Singh E552660 entity
Predicate spouse P13 FINISHED
Object Hazel Keech
Hazel Keech is a British−Mauritian former actress and model best known for her work in Indian cinema and her marriage to cricketer Yuvraj Singh.
E1556170 NE FINISHED

How this triple was built (4 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: Hazel Keech | Statement: [Yuvraj Singh, spouse, Hazel Keech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hazel Keech
Context triple: [Yuvraj Singh, spouse, Hazel Keech]
  • A. Hazel Langford
    Hazel Langford is the wife of British science fiction author and critic David Langford.
  • B. Hazel Pethig
    Hazel Pethig is a costume designer known for her work on the British television series "One Down, Five to Go."
  • C. Hazel Wright
    Hazel Wright was a prominent figure significant enough in her community or field to have the renowned Hazel Wright Organ named in her honor.
  • D. Hazel Bennet
    Hazel Bennet was the wife of American film director and actor Lloyd Bacon, associated with Hollywood’s early studio era.
  • E. Hazel Dorothy Scott
    Hazel Dorothy Scott was a Trinidadian-American jazz and classical pianist, singer, and civil rights activist renowned for her virtuosic performances and trailblazing presence in film and television.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hazel Keech
Triple: [Yuvraj Singh, spouse, Hazel Keech]
Generated description
Hazel Keech is a British−Mauritian former actress and model best known for her work in Indian cinema and her marriage to cricketer Yuvraj Singh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hazel Keech
Target entity description: Hazel Keech is a British−Mauritian former actress and model best known for her work in Indian cinema and her marriage to cricketer Yuvraj Singh.
  • A. Hazel Langford
    Hazel Langford is the wife of British science fiction author and critic David Langford.
  • B. Hazel Pethig
    Hazel Pethig is a costume designer known for her work on the British television series "One Down, Five to Go."
  • C. Hazel Wright
    Hazel Wright was a prominent figure significant enough in her community or field to have the renowned Hazel Wright Organ named in her honor.
  • D. Hazel Bennet
    Hazel Bennet was the wife of American film director and actor Lloyd Bacon, associated with Hollywood’s early studio era.
  • E. Hazel Dorothy Scott
    Hazel Dorothy Scott was a Trinidadian-American jazz and classical pianist, singer, and civil rights activist renowned for her virtuosic performances and trailblazing presence in film and television.
  • F. None of above. chosen

Provenance (5 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157d08b148190a9a4e445e8579219 completed April 29, 2026, 12:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7940748819086a70246e90b6f91 completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba7fee49481909915675cd5b21df2 completed May 18, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba8ac6b008190bf0441b47af7d93b completed May 19, 2026, 12:02 a.m.
Created at: April 16, 2026, 8:44 p.m.