Triple

T6765960
Position Surface form Disambiguated ID Type / Status
Subject Josh Lyman E154718 entity
Predicate hasFriend P8712 FINISHED
Object Donna Moss E314994 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: Donna Moss | Statement: [Josh Lyman, hasFriend, Donna Moss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donna Moss
Context triple: [Josh Lyman, hasFriend, Donna Moss]
  • A. Donna Moss chosen
    Donna Moss is a key fictional character on the television series "The West Wing," known for her role as Josh Lyman’s witty and capable assistant who evolves into a significant political operative.
  • B. Donna Tubbs
    Donna Tubbs is a central character in the animated sitcom universe of Family Guy and The Cleveland Show, known as Cleveland Brown's strong-willed, caring, and often no-nonsense wife.
  • C. Donna Deegan
    Donna Deegan is an American politician, former television news anchor, and founder of a breast cancer charity who serves as the mayor of Jacksonville, Florida.
  • D. Donna Anderson
    Donna Anderson is an American actress best known for her role in the 1960 courtroom drama film "Inherit the Wind."
  • E. Maureen Swanson
    Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d22ed30881909e1bfcfb8cf175a2 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d05bd623b88190aeecaa70f92e5c3c completed April 4, 2026, 12:31 a.m.
Created at: March 27, 2026, 2:12 p.m.