Triple

T17984853
Position Surface form Disambiguated ID Type / Status
Subject Stacy Barrett E430202 entity
Predicate supportsCharacterArcOf P36856 FINISHED
Object Deb Dobkins 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: Deb Dobkins | Statement: [Stacy Barrett, supportsCharacterArcOf, Deb Dobkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deb Dobkins
Context triple: [Stacy Barrett, supportsCharacterArcOf, Deb Dobkins]
  • A. Deb Dobkins chosen
    Deb Dobkins is a shallow, fashion-obsessed model who dies and is reincarnated in the body of a brilliant, plus-sized lawyer in the television series "Drop Dead Diva."
  • B. Debbie Meadows
    Debbie Meadows is an American political figure and businesswoman best known as the wife of former White House Chief of Staff and congressman Mark Meadows.
  • C. Debra Humphries
    Debra Humphries is the mother of former NBA player Kris Humphries.
  • D. Debbie Sullivan
    Debbie Sullivan is a central character in the 1986 romantic comedy-drama film "About Last Night," portrayed as a young woman navigating the complexities of love and commitment in a modern relationship.
  • E. Debra Newell
    Debra Newell is an interior designer whose real-life relationship with conman John Meehan inspired the true-crime podcast and TV series "Dirty John."
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29a27b081909a128a6b978eabf8 completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.