Triple

T13537763
Position Surface form Disambiguated ID Type / Status
Subject Betsy Hassett E323304 entity
Predicate familyName P18 FINISHED
Object Hassett
Hassett is a surname most notably associated with New Zealand footballer Betsy Hassett.
 E1047897 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: Hassett | Statement: [Betsy Hassett, familyName, Hassett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hassett
Context triple: [Betsy Hassett, familyName, Hassett]
  • A. Hassler
    Hassler Whitney was an influential American mathematician known for his foundational work in differential topology and manifold theory.
  • B. Heseltine
    Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • C. Hewett
    Hewett is an English surname borne by various notable individuals across fields such as sports, arts, and public life.
  • D. Hartnett
    Hartnett is a surname most prominently associated with American actor Josh Hartnett, known for his film and television roles since the late 1990s.
  • E. Fauset
    Fauset is a surname most notably associated with Jessie Redmon Fauset, an influential African American editor, poet, and novelist of the Harlem Renaissance.
  • 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: Hassett
Triple: [Betsy Hassett, familyName, Hassett]
Generated description
Hassett is a surname most notably associated with New Zealand footballer Betsy Hassett.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hassett
Target entity description: Hassett is a surname most notably associated with New Zealand footballer Betsy Hassett.
  • A. Hassler
    Hassler Whitney was an influential American mathematician known for his foundational work in differential topology and manifold theory.
  • B. Heseltine
    Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • C. Hewett
    Hewett is an English surname borne by various notable individuals across fields such as sports, arts, and public life.
  • D. Hartnett
    Hartnett is a surname most prominently associated with American actor Josh Hartnett, known for his film and television roles since the late 1990s.
  • E. Fauset
    Fauset is a surname most notably associated with Jessie Redmon Fauset, an influential African American editor, poet, and novelist of the Harlem Renaissance.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9c04b881908a359df791b89b43 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f761e020708190a21ad4c0bc11d730 completed May 3, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69f765d0f9d88190b91097a359043860 completed May 3, 2026, 3:12 p.m.
Created at: April 9, 2026, 9:45 p.m.