Triple

T19393339
Position Surface form Disambiguated ID Type / Status
Subject Sharp Objects E485121 entity
Predicate executiveProducer P7225 FINISHED
Object Jessica Rhoades NE NERFINISHED

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: Jessica Rhoades | Statement: [Sharp Objects, executiveProducer, Jessica Rhoades]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Rhoades
Context triple: [Sharp Objects, executiveProducer, Jessica Rhoades]
  • A. Jessica Rhoades
    Jessica Rhoades is a television producer best known for her executive production work on the acclaimed anthology series "Black Mirror."
  • B. Jessica Rhoades chosen
    Jessica Rhoades is a television producer best known for her executive production work on the acclaimed drama series "The Affair."
  • C. Jessica Brody
    Jessica Brody is a central character in the television series "Homeland," known as the conflicted wife of U.S. Marine Nicholas Brody.
  • D. Laura Lyons
    Laura Lyons is the mother of American fashion model Lily Aldridge.
  • E. Lila Quartermaine
    Lila Quartermaine is a beloved matriarchal character from the soap opera "General Hospital," known for her kindness, wisdom, and role as the moral center of the Quartermaine family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b468dd88190acd82b4ee33bd39b completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.