Triple

T6305676
Position Surface form Disambiguated ID Type / Status
Subject William Francis Hagerty IV E141368 entity
Predicate familyName P18 FINISHED
Object Hagerty
Hagerty is an American surname most prominently associated with William Francis Hagerty IV, a U.S. politician and diplomat.
E584912 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: Hagerty | Statement: [William Francis Hagerty IV, familyName, Hagerty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hagerty
Context triple: [William Francis Hagerty IV, familyName, Hagerty]
  • A. Haggerty
    Haggerty is a surname of Irish origin borne by various notable individuals across fields such as business, politics, and the arts.
  • B. Hart
    Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
  • C. Hart
    Hart is a local government district and civil parish area in Hampshire, England, known for its high quality of life and largely rural character.
  • D. Westy
    Westy was the widely used nickname of General William Westmoreland, the U.S. Army officer who commanded American forces during the Vietnam War.
  • E. Heston
    Heston is a suburban area in the London Borough of Hounslow, England, known for its residential character and proximity to Heathrow Airport.
  • 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: Hagerty
Triple: [William Francis Hagerty IV, familyName, Hagerty]
Generated description
Hagerty is an American surname most prominently associated with William Francis Hagerty IV, a U.S. politician and diplomat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hagerty
Target entity description: Hagerty is an American surname most prominently associated with William Francis Hagerty IV, a U.S. politician and diplomat.
  • A. Haggerty
    Haggerty is a surname of Irish origin borne by various notable individuals across fields such as business, politics, and the arts.
  • B. Hart
    Hart is a surname most famously associated with Moss Hart, the acclaimed American playwright and theater director known for works like "You Can't Take It with You" and "Once in a Lifetime."
  • C. Hart
    Hart is a local government district and civil parish area in Hampshire, England, known for its high quality of life and largely rural character.
  • D. Westy
    Westy was the widely used nickname of General William Westmoreland, the U.S. Army officer who commanded American forces during the Vietnam War.
  • E. Heston
    Heston is a suburban area in the London Borough of Hounslow, England, known for its residential character and proximity to Heathrow Airport.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06479acec819090306a155a03b774 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e44527488190b3d605e917c8dfb2 completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5f3f6d134819090d44dea3ae88ee2 completed March 27, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69c5f4a30e2c81908cd5a99d6fc6063b completed March 27, 2026, 3:08 a.m.
Created at: March 22, 2026, 4:28 p.m.