Triple

T15435856
Position Surface form Disambiguated ID Type / Status
Subject Bored to Death E369759 entity
Predicate executiveProducer P7225 FINISHED
Object Stephanie Davis E1054575 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: Stephanie Davis | Statement: [Bored to Death, executiveProducer, Stephanie Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephanie Davis
Context triple: [Bored to Death, executiveProducer, Stephanie Davis]
  • A. Stephanie Davis chosen
    Stephanie Davis is a television producer best known for her executive production work on the comedy series "Blunt Talk."
  • B. Stephanie Smith
    Stephanie Smith is a minor character in the 2002 hip-hop drama film "8 Mile," which stars Eminem and follows the Detroit rap battle scene.
  • C. Stephanie Bailey
    Stephanie Bailey is the drummer for the American psychedelic rock band The Black Angels.
  • D. Stephanie Robinson
    Stephanie Robinson is a character in the film "The Wrestler," appearing in the story’s exploration of the personal and emotional struggles surrounding professional wrestling.
  • E. Stephanie Squires
    Stephanie Squires is a central character in the coming-of-age film "The Wackness," serving as the love interest who helps drive the protagonist’s emotional and personal growth during a transformative summer in 1990s New York City.
  • 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.