Triple

T9437569
Position Surface form Disambiguated ID Type / Status
Subject Joshua Bowman E227551 entity
Predicate name P16 FINISHED
Object Joshua Bowman E227551 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: Joshua Bowman | Statement: [Joshua Bowman, name, Joshua Bowman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joshua Bowman
Context triple: [Joshua Bowman, name, Joshua Bowman]
  • A. Joshua Bowman chosen
    Joshua Bowman is a British actor best known for his role as Daniel Grayson on the television drama series "Revenge."
  • B. Joshua Kraft
    Joshua Kraft is a member of the prominent Kraft family, known for their leadership of the New England Patriots and extensive business and philanthropic activities.
  • C. Cody Jarrett
    Cody Jarrett is the ruthless, psychotic gang leader famously portrayed by James Cagney in the classic 1949 crime film "White Heat."
  • D. Ky Bowman
    Ky Bowman is an American professional basketball player and former standout point guard for Boston College who has played in the NBA and overseas.
  • E. Josh Bryant
    Josh Bryant is an American musician and guitarist best known as the husband of Broadway and television star Kristin Chenoweth.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7edff5e881909b72976e8909ba4b completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1225345488190a1fee54f6feb321d completed April 4, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:50 p.m.