Triple

T3579696
Position Surface form Disambiguated ID Type / Status
Subject Alva Erskine Vanderbilt E75769 entity
Predicate familyName P18 FINISHED
Object Belmont
Belmont is a prominent American family name historically associated with wealth, high society, and influence in finance and politics.
 E377921 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: Belmont | Statement: [Alva Erskine Vanderbilt, familyName, Belmont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belmont
Context triple: [Alva Erskine Vanderbilt, familyName, Belmont]
  • A. Belmont
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • B. Belmont
    Belmont is a residential neighborhood in West Philadelphia known for its historic rowhouses and proximity to Fairmount Park.
  • C. Belmont
    Belmont is a city on the San Francisco Peninsula in California, known for its suburban character, hilly terrain, and proximity to major Bay Area tech and transportation hubs.
  • D. Belmont
    Belmont is a suburban district within the London Borough of Harrow, known for its residential character and local shopping and community facilities.
  • E. Belmont
    Belmont is a Chicago Transit Authority rapid transit station on the Blue Line serving the city's Northwest Side.
  • 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: Belmont
Triple: [Alva Erskine Vanderbilt, familyName, Belmont]
Generated description
Belmont is a prominent American family name historically associated with wealth, high society, and influence in finance and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belmont
Target entity description: Belmont is a prominent American family name historically associated with wealth, high society, and influence in finance and politics.
  • A. Belmont
    Belmont is a residential neighborhood in West Philadelphia known for its historic rowhouses and proximity to Fairmount Park.
  • B. Belmont
    Belmont is a suburban town in Middlesex County, Massachusetts, known for its residential character and proximity to Boston.
  • C. Belmont
    Belmont is a predominantly residential neighborhood in the central Bronx, New York City, historically known as the borough’s “Little Italy” for its Italian-American community and businesses.
  • D. Belmont
    Belmont is a city on the San Francisco Peninsula in California, known for its suburban character, hilly terrain, and proximity to major Bay Area tech and transportation hubs.
  • E. Belmont
    Belmont is a suburban district within the London Borough of Harrow, known for its residential character and local shopping and community facilities.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0ffecdc8190bf01c8ba90e3733e completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48825d5a08190b57407b660fb5954 completed March 13, 2026, 9:56 p.m.
NEDg Description generation batch_69b4904097648190a26bce8da54a613f completed March 13, 2026, 10:31 p.m.
NED2 Entity disambiguation (via description) batch_69b4aefb58448190b7d34343a5dbb0f6 completed March 14, 2026, 12:42 a.m.
Created at: March 8, 2026, 3:21 p.m.