Triple

T15435855
Position Surface form Disambiguated ID Type / Status
Subject Bored to Death E369759 entity
Predicate executiveProducer P7225 FINISHED
Object Sarah Condon E1068109 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: Sarah Condon | Statement: [Bored to Death, executiveProducer, Sarah Condon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Condon
Context triple: [Bored to Death, executiveProducer, Sarah Condon]
  • A. Sarah Condon chosen
    Sarah Condon is a television producer best known for her work as an executive producer on acclaimed HBO series such as "Looking" and "Bored to Death."
  • B. Audrey Maas
    Audrey Maas is a film producer known for her work on the acclaimed 1974 drama "Alice Doesn't Live Here Anymore."
  • C. Kate Barry
    Kate Barry was a British-French photographer known for her intimate portraits of artists and celebrities, and as the daughter of Jane Birkin and composer John Barry.
  • D. Maureen Johnson
    Maureen Johnson is a flamboyant, performance-artist character in the musical "Rent," known for her dramatic personality and complex romantic relationships.
  • E. Annie Wersching
    Annie Wersching was an American actress best known for her roles in television series such as "24," "Bosch," and "Star Trek: Picard."
  • 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.