Triple

T19543812
Position Surface form Disambiguated ID Type / Status
Subject Arthur Hailey E488983 entity
Predicate familyName P18 FINISHED
Object Hailey
Hailey is a surname most notably associated with Arthur Hailey, the British-Canadian novelist known for his bestselling dramatic fiction set in high-pressure professional environments.
 E1383969 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: Hailey | Statement: [Arthur Hailey, familyName, Hailey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hailey
Context triple: [Arthur Hailey, familyName, Hailey]
  • A. Hailey
    Hailey is a parish in Hertfordshire, England, associated with the town of Haileybury.
  • B. Hailey
    Hailey is a small rural village located within the district of West Oxfordshire in England.
  • C. Hailey
    Hailey is a small city in south-central Idaho known as a gateway to the Sun Valley resort area and the surrounding Sawtooth National Forest.
  • D. Hailey
    Hailey is an American model and media personality best known for her high-profile fashion work and marriage to musician Justin Bieber.
  • E. Haley Meadows
    Haley Meadows is the daughter of former White House Chief of Staff and U.S. Representative Mark Meadows.
  • 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: Hailey
Triple: [Arthur Hailey, familyName, Hailey]
Generated description
Hailey is a surname most notably associated with Arthur Hailey, the British-Canadian novelist known for his bestselling dramatic fiction set in high-pressure professional environments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hailey
Target entity description: Hailey is a surname most notably associated with Arthur Hailey, the British-Canadian novelist known for his bestselling dramatic fiction set in high-pressure professional environments.
  • A. Hailey
    Hailey is a parish in Hertfordshire, England, associated with the town of Haileybury.
  • B. Hailey
    Hailey is a small rural village located within the district of West Oxfordshire in England.
  • C. Hailey
    Hailey is a small city in south-central Idaho known as a gateway to the Sun Valley resort area and the surrounding Sawtooth National Forest.
  • D. Hailey
    Hailey is an American model and media personality best known for her high-profile fashion work and marriage to musician Justin Bieber.
  • E. Haley Meadows
    Haley Meadows is the daughter of former White House Chief of Staff and U.S. Representative Mark Meadows.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e638750b288190aecdb0e18a1add62 completed April 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07577880048190bb182c9fe3856254 completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a07583fc26481908bd2f00c19f3b4cd completed May 15, 2026, 5:30 p.m.
NED2 Entity disambiguation (via description) batch_6a07594a23ac81908807df4605555d3f completed May 15, 2026, 5:35 p.m.
Created at: April 10, 2026, 1:41 p.m.