Triple

T12987348
Position Surface form Disambiguated ID Type / Status
Subject Lexington Cemetery E321803 entity
Predicate hasNotableBurial P196 FINISHED
Object Levi Todd E470700 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: Levi Todd | Statement: [Lexington Cemetery, hasNotableBurial, Levi Todd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Levi Todd
Context triple: [Lexington Cemetery, hasNotableBurial, Levi Todd]
  • A. Levi Todd chosen
    Levi Todd was an early American pioneer and political figure associated with the prominent Todd family, known for his role in the settlement and governance of Kentucky.
  • B. Levi Sanders
    Levi Sanders is an American political consultant and public defender best known as the son of U.S. Senator and progressive figure Bernie Sanders.
  • C. Levi Garrett
    Levi Garrett is a popular American brand of loose-leaf chewing tobacco known for its sweet flavor and moist texture.
  • D. Levi Seacer Jr.
    Levi Seacer Jr. is an American musician, songwriter, and producer best known for his work as a guitarist and bassist in Prince’s backing band during the late 1980s and early 1990s.
  • E. Levi Little
    Levi Little is an American R&B singer best known as a vocalist in the multi-platinum 1990s group Blackstreet.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5f47ec8190b39107bc016f9824 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f6245c8190867417c3ef1852e5 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:41 p.m.