Triple

T15435833
Position Surface form Disambiguated ID Type / Status
Subject Bored to Death E369759 entity
Predicate creator P184 FINISHED
Object Jonathan Ames E1054574 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: Jonathan Ames | Statement: [Bored to Death, creator, Jonathan Ames]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonathan Ames
Context triple: [Bored to Death, creator, Jonathan Ames]
  • A. Jonathan Ames chosen
    Jonathan Ames is an American author, essayist, and television writer best known for creating quirky, character-driven series such as "Bored to Death" and other offbeat comedic works.
  • B. Michael Ames
    Michael Ames is a personal name shared by multiple individuals, including professionals in fields such as politics, academia, and the arts.
  • C. Josh Gudwin
    Josh Gudwin is a Grammy-winning Canadian recording and mixing engineer best known for his work with major pop artists such as Justin Bieber.
  • D. Aaron Guzikowski
    Aaron Guzikowski is an American screenwriter best known for writing the acclaimed thriller film "Prisoners" and creating the science fiction series "Raised by Wolves."
  • E. Patrick Nielsen Hayden
    Patrick Nielsen Hayden is an influential American science fiction and fantasy editor and publisher, known for shaping the careers of numerous prominent genre authors.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edb3ec481908b26164d4470c9bc completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a5e55c81909801db54032589ac completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:21 a.m.