Triple

T21503186
Position Surface form Disambiguated ID Type / Status
Subject 2010 ICC Women's World Twenty20 E530529 entity
Predicate mostWickets P23688 FINISHED
Object Nicola Browne 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: Nicola Browne | Statement: [2010 ICC Women's World Twenty20, mostWickets, Nicola Browne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicola Browne
Context triple: [2010 ICC Women's World Twenty20, mostWickets, Nicola Browne]
  • A. Nicola Browne chosen
    Nicola Browne is a former New Zealand all-rounder in women's cricket, renowned for her impactful performances in international limited-overs formats.
  • B. Tara Browne
    Tara Browne was a young British socialite and Guinness heir whose 1966 car crash famously inspired the Beatles’ song “A Day in the Life.”
  • C. Éamon Martin
    Éamon Martin is the Roman Catholic Archbishop of Armagh and Primate of All Ireland, serving as a leading figure in the Irish Catholic Church.
  • D. Rob Easson
    Rob Easson is a musician best known as a member of the band Rogue Wave.
  • E. Seamus Deasy
    Seamus Deasy is an Irish cinematographer known for his work on feature films and television, including the drama "Queen and Country."
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5deb388190a89a1f94285b7e55 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:24 p.m.