Triple

T1588974
Position Surface form Disambiguated ID Type / Status
Subject Calvary Cemetery, Queens E34133 entity
Predicate hasBurial P196 FINISHED
Object Geraldine Ferraro E111497 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: Geraldine Ferraro | Statement: [Calvary Cemetery, Queens, hasBurial, Geraldine Ferraro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geraldine Ferraro
Context triple: [Calvary Cemetery, Queens, hasBurial, Geraldine Ferraro]
  • A. Geraldine Ferraro chosen
    Geraldine Ferraro was an American politician and attorney who became the first woman nominated for U.S. vice president by a major political party.
  • B. Joan Mondale
    Joan Mondale was an American arts advocate and Second Lady of the United States, known for her extensive promotion of the visual and performing arts.
  • C. Mary Jo Markey
    Mary Jo Markey is an American film and television editor best known for her longtime collaboration with J.J. Abrams on projects such as Lost and the Star Trek and Star Wars franchises.
  • D. Jane Gray Muskie
    Jane Gray Muskie was an American political spouse and public figure best known as the wife of U.S. Senator and Secretary of State Edmund Muskie.
  • E. Lore Harp McGovern
    Lore Harp McGovern is an entrepreneur and philanthropist best known for co-founding the McGovern Institute for Brain Research at MIT and supporting neuroscience and technology initiatives.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9090c8e488190aa25893c5ef0fe22 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51b5d6f48190baac5d3d6fe13206 completed March 8, 2026, 10:38 a.m.
Created at: March 4, 2026, 7:27 p.m.