Triple

T19721938
Position Surface form Disambiguated ID Type / Status
Subject Patrick Walsh E473629 entity
Predicate isAmbiguousWith P2289 FINISHED
Object Patrick Walsh (writer) 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: Patrick Walsh (writer) | Statement: [Patrick Walsh, isAmbiguousWith, Patrick Walsh (writer)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Walsh (writer)
Context triple: [Patrick Walsh, isAmbiguousWith, Patrick Walsh (writer)]
  • A. Paul Walsh
    Paul Walsh is a name shared by several notable individuals, including a former Irish footballer and a British business executive.
  • B. Dock Walsh
    Dock Walsh was an early 20th-century American banjo player and singer known for his influential work in old-time string band music.
  • C. William Monahan
    William Monahan is an American screenwriter best known for his Oscar-winning screenplay for the crime drama film "The Departed."
  • D. Stephen Walters
    Stephen Walters is a British character actor known for his versatile roles in film and television, including appearances in projects like Hannibal Rising and the series Outlander.
  • E. Patrick Walsh chosen
    Patrick Walsh is a relatively common Irish-derived personal name shared by various notable individuals across fields such as politics, sports, and the arts.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e649f587d88190bf519fec7ce634d3 completed April 20, 2026, 3:44 p.m.
Created at: April 10, 2026, 1:46 p.m.