Triple

T7765682
Position Surface form Disambiguated ID Type / Status
Subject Ira Remsen E176138 entity
Predicate familyName P18 FINISHED
Object Remsen
Remsen is a surname most notably associated with Ira Remsen, an American chemist and co-discoverer of saccharin.
 E687156 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: Remsen | Statement: [Ira Remsen, familyName, Remsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Remsen
Context triple: [Ira Remsen, familyName, Remsen]
  • A. Fairlawn
    Fairlawn is a residential neighborhood and community within the city of Pawtucket in Providence County, Rhode Island.
  • B. Ranft
    Ranft is a secluded valley in the Swiss canton of Obwalden known as the hermitage site of the Swiss patron saint Nicholas of Flüe.
  • C. Wantagh
    Wantagh is a suburban hamlet on Long Island, New York, known as a residential community with commuter rail access to New York City.
  • D. Union Springs
    Union Springs is a small city in southeastern Alabama that serves as the administrative and cultural center of Bullock County.
  • E. Lansingburgh
    Lansingburgh is a historic residential neighborhood in the northern part of Troy, New York, known for its 19th-century architecture and village-like character along the Hudson River.
  • 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: Remsen
Triple: [Ira Remsen, familyName, Remsen]
Generated description
Remsen is a surname most notably associated with Ira Remsen, an American chemist and co-discoverer of saccharin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Remsen
Target entity description: Remsen is a surname most notably associated with Ira Remsen, an American chemist and co-discoverer of saccharin.
  • A. Fairlawn
    Fairlawn is a residential neighborhood and community within the city of Pawtucket in Providence County, Rhode Island.
  • B. Ranft
    Ranft is a secluded valley in the Swiss canton of Obwalden known as the hermitage site of the Swiss patron saint Nicholas of Flüe.
  • C. Wantagh
    Wantagh is a suburban hamlet on Long Island, New York, known as a residential community with commuter rail access to New York City.
  • D. Union Springs
    Union Springs is a small city in southeastern Alabama that serves as the administrative and cultural center of Bullock County.
  • E. Lansingburgh
    Lansingburgh is a historic residential neighborhood in the northern part of Troy, New York, known for its 19th-century architecture and village-like character along the Hudson River.
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7043279748190b30882e9cc6cca54 completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7e1a1408190a802d4f4afb8dd05 completed March 29, 2026, 6:34 a.m.
NEDg Description generation batch_69c8c8b75b848190a67de2040d563f86 completed March 29, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69c8c941814081909d299df5cd714c71 completed March 29, 2026, 6:40 a.m.
Created at: March 27, 2026, 4:09 p.m.