Triple

T13847948
Position Surface form Disambiguated ID Type / Status
Subject Holyhood Cemetery E332857 entity
Predicate hasNotableBurial P196 FINISHED
Object Patrick J. Kennedy E33981 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: Patrick J. Kennedy | Statement: [Holyhood Cemetery, hasNotableBurial, Patrick J. Kennedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick J. Kennedy
Context triple: [Holyhood Cemetery, hasNotableBurial, Patrick J. Kennedy]
  • A. Patrick J. Kennedy chosen
    Patrick J. Kennedy is an American former U.S. Representative from Rhode Island and a leading advocate for mental health and addiction policy reform.
  • B. Patrick Kennedy
    Patrick Kennedy is a British actor known for his work in film and television, including prominent roles in period dramas and literary adaptations.
  • C. Patrick Kennedy
    Patrick Kennedy is an American competitive swimmer known for training with the prestigious North Baltimore Aquatic Club.
  • D. Patrick Kennedy
    Patrick Kennedy is an editor known for his work on the publication "Tap."
  • E. Patrick J. Kennedy (Washington politician)
    Patrick J. Kennedy was a 19th-century Washington, D.C. politician who served as a member of the city’s governing bodies during the era of the territorial and early municipal government.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b2a9788190b164760adec64ef6 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f189008190bb9afeef42564a33 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.