Triple

T12717666
Position Surface form Disambiguated ID Type / Status
Subject Jerry Adair E303890 entity
Predicate familyName P18 FINISHED
Object Adair
Adair is a surname of Scottish and Irish origin borne by various notable individuals in sports, politics, and the arts.
 E997013 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: Adair | Statement: [Jerry Adair, familyName, Adair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Adair
Context triple: [Jerry Adair, familyName, Adair]
  • A. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • B. Hayes
    Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
  • C. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • D. Easterbrook
    Easterbrook is a surname most notably associated with American actress Leslie Easterbrook, known for her roles in the "Police Academy" film series and various television shows.
  • E. Trulaske
    Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
  • 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: Adair
Triple: [Jerry Adair, familyName, Adair]
Generated description
Adair is a surname of Scottish and Irish origin borne by various notable individuals in sports, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Adair
Target entity description: Adair is a surname of Scottish and Irish origin borne by various notable individuals in sports, politics, and the arts.
  • A. Hayes
    Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
  • B. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • C. Hayes
    Hayes is a suburban town in west London, England, known for its residential areas, transport links, and proximity to Heathrow Airport.
  • D. Easterbrook
    Easterbrook is a surname most notably associated with American actress Leslie Easterbrook, known for her roles in the "Police Academy" film series and various television shows.
  • E. Trulaske
    Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9620bd6148190a2f50067a4c18c14 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671bcc10481909f150989f9545752 completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f6740205ac819095db26058eb2dce7 completed May 2, 2026, 10 p.m.
NED2 Entity disambiguation (via description) batch_69f674de6328819087fe5a8068c26f51 completed May 2, 2026, 10:04 p.m.
Created at: April 9, 2026, 5:23 p.m.