Triple

T15534161
Position Surface form Disambiguated ID Type / Status
Subject Maddie Townsend E370299 entity
Predicate businessPartner P282 FINISHED
Object Dana Sue Sullivan 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: Dana Sue Sullivan | Statement: [Maddie Townsend, businessPartner, Dana Sue Sullivan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana Sue Sullivan
Context triple: [Maddie Townsend, businessPartner, Dana Sue Sullivan]
  • A. Dana Sue Sullivan chosen
    Dana Sue Sullivan is a central protagonist in the drama series "Sweet Magnolias," known as a talented chef, devoted mother, and loyal friend navigating personal and professional challenges in a small Southern town.
  • B. Tricia Sullivan
    Tricia Sullivan is an American-born science fiction author known for her innovative, genre-bending novels and award-winning contributions to speculative fiction.
  • C. Susan Sullivan
    Susan Sullivan is an American actress best known for her television roles in series such as "Falcon Crest," "Dharma & Greg," and "Castle."
  • D. Dana Congdon
    Dana Congdon is a film editor best known for his work on movies such as the anthology comedy "Four Rooms."
  • E. Suzanne Johnson
    Suzanne Johnson is a member of the Johnson family, known primarily in relation to that family group.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0442e327c8190b4b879c8a3cd38e3 completed April 16, 2026, 2:06 a.m.
Created at: April 10, 2026, 4:06 a.m.