Triple

T5962941
Position Surface form Disambiguated ID Type / Status
Subject Joshua Lyman E132681 entity
Predicate romanticInterest P7325 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: [Joshua Lyman, romanticInterest, Donna Moss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donna Moss
Context triple: [Joshua Lyman, romanticInterest, 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a00e444819087f9df62263e83dc completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5674c408190bdea241134fba474 completed March 30, 2026, 10:12 p.m.
Created at: March 22, 2026, 4:03 p.m.