Triple

T5673956
Position Surface form Disambiguated ID Type / Status
Subject Mike Quigley E125041 entity
Predicate familyName P18 FINISHED
Object Quigley
Quigley is a surname most notably associated with American politician Mike Quigley, a U.S. Representative from Illinois.
 E535828 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: Quigley | Statement: [Mike Quigley, familyName, Quigley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quigley
Context triple: [Mike Quigley, familyName, Quigley]
  • A. The Quigley
    The Quigley is a notorious water obstacle course at the U.S. Marine Corps Officer Candidates School, known for its muddy trenches, submerged passages, and physically demanding conditions.
  • B. Buckley
    Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
  • C. Buckley
    Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
  • D. Buckley
    Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
  • E. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • 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: Quigley
Triple: [Mike Quigley, familyName, Quigley]
Generated description
Quigley is a surname most notably associated with American politician Mike Quigley, a U.S. Representative from Illinois.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quigley
Target entity description: Quigley is a surname most notably associated with American politician Mike Quigley, a U.S. Representative from Illinois.
  • A. The Quigley
    The Quigley is a notorious water obstacle course at the U.S. Marine Corps Officer Candidates School, known for its muddy trenches, submerged passages, and physically demanding conditions.
  • B. Buckley
    Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
  • C. Buckley
    Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
  • D. Buckley
    Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
  • E. Willard
    Willard is a masculine given name of Old English origin meaning "resolute" or "strong-willed."
  • 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_69c008295c808190acfe78915e7d656a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023700ba88190ba7c829785f20c82 completed March 22, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04db8f1c4819097251039c09c5dda completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04ee03d1c819096a5acf0358165c1 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ffb0fb8819080dff2a9ec6eacb4 completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:43 p.m.