Triple

T5157725
Position Surface form Disambiguated ID Type / Status
Subject Horace Bushnell E116354 entity
Predicate familyName P18 FINISHED
Object Bushnell
Bushnell is an English-language surname borne by various notable individuals, including theologian Horace Bushnell and several American inventors and public figures.
E498332 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: Bushnell | Statement: [Horace Bushnell, familyName, Bushnell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bushnell
Context triple: [Horace Bushnell, familyName, Bushnell]
  • A. The Bushnell
    The Bushnell is a prominent performing arts center in Hartford, Connecticut, known for hosting Broadway tours, concerts, and major cultural events.
  • B. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • C. Hobuck
    Hobuck is the original settlement name that preceded the modern city of Hoboken, New Jersey.
  • D. Benson
    Benson is a masculine given name of English origin, traditionally meaning "son of Ben."
  • E. Benson
    Benson is a historic village and civil parish in Oxfordshire, England, situated near the River Thames and known for its RAF station and traditional English countryside character.
  • 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: Bushnell
Triple: [Horace Bushnell, familyName, Bushnell]
Generated description
Bushnell is an English-language surname borne by various notable individuals, including theologian Horace Bushnell and several American inventors and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bushnell
Target entity description: Bushnell is an English-language surname borne by various notable individuals, including theologian Horace Bushnell and several American inventors and public figures.
  • A. The Bushnell
    The Bushnell is a prominent performing arts center in Hartford, Connecticut, known for hosting Broadway tours, concerts, and major cultural events.
  • B. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • C. Hobuck
    Hobuck is the original settlement name that preceded the modern city of Hoboken, New Jersey.
  • D. Benson
    Benson is a masculine given name of English origin, traditionally meaning "son of Ben."
  • E. Benson
    Benson is an American sitcom that follows the sharp-witted butler Benson DuBois as he rises through the ranks of a chaotic state governor’s household and administration.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7902fbe48190abb58cb0b2b2b62d completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed0168a648190a470507802aa8934 completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed0b4c8648190a151383277a8297d completed March 21, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_69bed14d7a5c8190ac5b09f59a8dda1a completed March 21, 2026, 5:11 p.m.
Created at: March 20, 2026, 1:44 p.m.