Triple

T15747721
Position Surface form Disambiguated ID Type / Status
Subject Bryan Fuller E381761 entity
Predicate creatorOf P806 FINISHED
Object Dead Like Me E817381 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: Dead Like Me | Statement: [Bryan Fuller, creatorOf, Dead Like Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dead Like Me
Context triple: [Bryan Fuller, creatorOf, Dead Like Me]
  • A. Dead Like Me chosen
    Dead Like Me is a dark comedy-drama television series that follows a young woman who becomes a grim reaper after her sudden death, exploring themes of mortality and the afterlife with sardonic humor.
  • B. Dead Like You
    Dead Like You is a crime thriller novel by British author Peter James, featuring Detective Superintendent Roy Grace investigating a series of brutal attacks linked to a past case.
  • C. Playdead
    Playdead is a Danish independent video game developer best known for creating the critically acclaimed puzzle-platformers Limbo and Inside.
  • D. Dead Meat
    Dead Meat is a segment or component of the series "The Science of Things," likely focusing on scientific or educational content related to meat, decay, or biological processes.
  • E. Better Off Dead
    Better Off Dead is a 1985 dark teen comedy film starring John Cusack as a heartbroken high school student whose increasingly absurd attempts to win back his ex-girlfriend lead to a series of surreal misadventures.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0502d72008190b4d13a6b3a12e467 completed April 16, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876d48588190afec7722cca25633 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:46 a.m.