Triple

T6345393
Position Surface form Disambiguated ID Type / Status
Subject Grove Street Cemetery E142730 entity
Predicate hasBurial P196 FINISHED
Object Jeremiah Day E309496 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: Jeremiah Day | Statement: [Grove Street Cemetery, hasBurial, Jeremiah Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremiah Day
Context triple: [Grove Street Cemetery, hasBurial, Jeremiah Day]
  • A. Jeremiah Day chosen
    Jeremiah Day was an American academic who served as the long-time president of Yale College in the early 19th century.
  • B. Jeremiah Biggs
    Jeremiah Biggs is the son of Reverend Henry Biggs, a clergyman known in his community for his religious leadership.
  • C. Jedediah Purdy
    Jedediah Purdy is an American legal scholar and writer known for his work on democracy, environmental politics, and political economy.
  • D. Gilmor Brown
    Gilmor Brown was an American theater director and producer best known as the visionary founder and longtime guiding force of the Pasadena Playhouse.
  • E. Jedediah
    Jedediah is a miniature cowboy figure who comes to life and provides comic relief and adventurous chaos in the "Night at the Museum" film series.
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067b7e0d08190abacaf41c08ed15e completed March 22, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c604454fd48190972476a0929dfb9d completed March 27, 2026, 4:15 a.m.
Created at: March 22, 2026, 4:31 p.m.