Triple

T295403
Position Surface form Disambiguated ID Type / Status
Subject Katrina Van Tassel E6081 entity
Predicate residence P75 FINISHED
Object Tarry Town E9665 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: Tarry Town | Statement: [Katrina Van Tassel, residence, Tarry Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarry Town
Context triple: [Katrina Van Tassel, residence, Tarry Town]
  • A. Tarry Town chosen
    Tarry Town is a fictional Hudson Valley village in Washington Irving’s “The Legend of Sleepy Hollow,” closely associated with the eerie, supernatural atmosphere surrounding Sleepy Hollow.
  • B. Tarrytown, New York
    Tarrytown, New York is a historic Hudson River village in Westchester County known for its picturesque setting, 19th-century architecture, and ties to Washington Irving’s “The Legend of Sleepy Hollow.”
  • C. Colma
    Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
  • D. Bedminster, New Jersey
    Bedminster, New Jersey is a small, affluent township in Somerset County known for its rural character, historic estates, and the Trump National Golf Club located there.
  • E. Horwich
    Horwich is a town in Greater Manchester, England, historically notable as a major railway engineering and locomotive works centre.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e979663481908cf9622e59fed041 completed Feb. 28, 2026, 1:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3e5715a0c8190ad1333d8aaaecc1b completed March 1, 2026, 7:06 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.