Triple

T14391451
Position Surface form Disambiguated ID Type / Status
Subject Helen Westley E356851 entity
Predicate hasMiddleName P143 FINISHED
Object Remsen E687156 NE FINISHED

How this triple was built (2 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: [Helen Westley, hasMiddleName, Remsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Remsen
Context triple: [Helen Westley, hasMiddleName, Remsen]
  • A. Remsen chosen
    Remsen is a surname most notably associated with Ira Remsen, an American chemist and co-discoverer of saccharin.
  • B. Remsen, New York
    Remsen, New York is a small town in Oneida County best known as the place where Revolutionary War hero and Prussian military officer Friedrich Wilhelm von Steuben died.
  • C. Remsen Village
    Remsen Village is a residential neighborhood in the eastern part of Brooklyn, New York City, known for its diverse community and primarily low-rise housing.
  • D. Fairlawn
    Fairlawn is a residential neighborhood and community within the city of Pawtucket in Providence County, Rhode Island.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902b9acc8190817ffa848a76a880 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5517f5e481908fd65177c34f4282 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:16 a.m.