Triple

T4043713
Position Surface form Disambiguated ID Type / Status
Subject Drop Dead Diva E84011 entity
Predicate openingThemePerformer P21830 FINISHED
Object Brooke Elliott E444148 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: Brooke Elliott | Statement: [Drop Dead Diva, openingThemePerformer, Brooke Elliott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brooke Elliott
Context triple: [Drop Dead Diva, openingThemePerformer, Brooke Elliott]
  • A. Brooke Elliott chosen
    Brooke Elliott is an American actress and singer best known for her lead role as Jane Bingum on the television series "Drop Dead Diva."
  • B. Maryann Brandon
    Maryann Brandon is a film editor best known for her work on major Hollywood blockbusters, including J.J. Abrams–directed projects such as Star Trek (2009) and several Star Wars films.
  • C. Cathryn Damon
    Cathryn Damon was an American actress best known for her Emmy-winning role as Mary Campbell on the satirical television sitcom "Soap."
  • D. Lisa Rogers
    Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
  • E. Betsy Rue
    Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb5d759c8190b61fbbe94ffe2bf7 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b66b25d00481909eaf22c7c797c3f1 completed March 15, 2026, 8:17 a.m.
Created at: March 9, 2026, 3:37 p.m.