Triple

T17084823
Position Surface form Disambiguated ID Type / Status
Subject Kensico Cemetery E414567 entity
Predicate burialPlaceOf P196 FINISHED
Object Ruth Snyder NE NERFINISHED

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: Ruth Snyder | Statement: [Kensico Cemetery, burialPlaceOf, Ruth Snyder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruth Snyder
Context triple: [Kensico Cemetery, burialPlaceOf, Ruth Snyder]
  • A. Ruth Snyder chosen
    Ruth Snyder was an American woman infamously executed in 1928 for the murder of her husband, a case that became notorious due to a secretly photographed image of her electrocution published in the press.
  • B. Ruth Meyer
    Ruth Meyer is known primarily as a daughter of prominent American financier and former Washington Post publisher Eugene Meyer.
  • C. Ruth Robbins
    Ruth Robbins is an academic and author known for her work in literary and cultural studies.
  • D. Ruth Robbins
    Ruth Robbins was an American illustrator best known for her artwork in classic fantasy literature, including the original edition of Ursula K. Le Guin’s "A Wizard of Earthsea."
  • E. Ruth Terry
    Ruth Terry was an American actress and singer known for her roles in 1930s and 1940s Hollywood films, particularly in musicals and Westerns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe60d588190963ccd4c86af1233 completed April 18, 2026, 7:30 p.m.
Created at: April 10, 2026, 5:35 a.m.