Triple

T2008064
Position Surface form Disambiguated ID Type / Status
Subject On the Beach E43629 entity
Predicate stars P1956 FINISHED
Object Donna Anderson E375489 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 Anderson | Statement: [On the Beach, stars, Donna Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donna Anderson
Context triple: [On the Beach, stars, Donna Anderson]
  • A. Donna Anderson chosen
    Donna Anderson is an American actress best known for her role in the 1960 courtroom drama film "Inherit the Wind."
  • B. 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.
  • C. Donna Moss
    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.
  • D. 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.
  • E. Margo Anderson
    Margo Anderson is best known as a former wife of American country music star Kenny Rogers.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89aca908190b8b659af65afdf6f completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6276ad7c8819094372faa2162aa65 completed March 15, 2026, 3:28 a.m.
Created at: March 4, 2026, 7:37 p.m.