Triple

T21275888
Position Surface form Disambiguated ID Type / Status
Subject Andrew Hurley E524386 entity
Predicate name P16 FINISHED
Object Andrew Hurley — 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: Andrew Hurley | Statement: [Andrew Hurley, name, Andrew Hurley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andrew Hurley
Context triple: [Andrew Hurley, name, Andrew Hurley]
  • A. Andrew Hurley chosen
    Andrew Hurley is best known as the drummer for the American rock band Fall Out Boy.
  • B. Michael V. Hurley
    Michael V. Hurley is a notable individual recognized for achievements or public prominence associated with the surname Hurley.
  • C. Michael T. Hurley
    Michael T. Hurley is a notable individual recognized for achievements or prominence associated with the surname Hurley.
  • D. Daniel S. Hurley
    Daniel S. Hurley is an American basketball coach and former player best known for leading the University of Connecticut (UConn) men’s basketball program to national prominence.
  • E. Michael K. Hurley
    Michael K. Hurley is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Hurley.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736577fd48190a0038a6ac5678668 completed April 21, 2026, 8:33 a.m.
Created at: April 16, 2026, 4:02 p.m.