Triple

T16349981
Position Surface form Disambiguated ID Type / Status
Subject Earl of Bellomont E397035 entity
Predicate namedAfter P63 FINISHED
Object Bellomont
Bellomont is the namesake associated with the title of the Earl of Bellomont in the British peerage.
E1209117 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: Bellomont | Statement: [Earl of Bellomont, namedAfter, Bellomont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellomont
Context triple: [Earl of Bellomont, namedAfter, Bellomont]
  • A. Laurelton
    Laurelton is a primarily residential neighborhood in the southeastern part of the New York City borough of Queens, known for its suburban-style homes and tree-lined streets.
  • B. Frenchboro
    Frenchboro is a small, remote island town off the coast of Maine known for its working lobster fishery and limited access by boat.
  • C. Manorville
    Manorville is a small community in Armstrong County, Pennsylvania, located along the Allegheny River near Ford City.
  • D. Dunwoodie
    Dunwoodie is the commonly used name for St. Joseph’s Seminary, a major Roman Catholic seminary in Yonkers, New York.
  • E. Fairmount Heights
    Fairmount Heights is a small, historically African American town in Prince George’s County, Maryland, known for its early-20th-century suburban development and civil rights heritage.
  • 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: Bellomont
Triple: [Earl of Bellomont, namedAfter, Bellomont]
Generated description
Bellomont is the namesake associated with the title of the Earl of Bellomont in the British peerage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bellomont
Target entity description: Bellomont is the namesake associated with the title of the Earl of Bellomont in the British peerage.
  • A. Laurelton
    Laurelton is a primarily residential neighborhood in the southeastern part of the New York City borough of Queens, known for its suburban-style homes and tree-lined streets.
  • B. Frenchboro
    Frenchboro is a small, remote island town off the coast of Maine known for its working lobster fishery and limited access by boat.
  • C. Manorville
    Manorville is a small community in Armstrong County, Pennsylvania, located along the Allegheny River near Ford City.
  • D. Dunwoodie
    Dunwoodie is the commonly used name for St. Joseph’s Seminary, a major Roman Catholic seminary in Yonkers, New York.
  • E. Fairmount Heights
    Fairmount Heights is a small, historically African American town in Prince George’s County, Maryland, known for its early-20th-century suburban development and civil rights heritage.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da120ec081909bbf32bd128b2e01 completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db40e0481908d919f2285e48a23 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a003082f0008190aeae2fbbfc3a8acf completed May 10, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_6a00312a4fc48190b6bd6ad9db71bb4d completed May 10, 2026, 7:18 a.m.
Created at: April 10, 2026, 5:07 a.m.