Triple

T19753555
Position Surface form Disambiguated ID Type / Status
Subject Commander Fred Waterford E474444 entity
Predicate spouse P13 FINISHED
Object Serena Joy Waterford 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: Serena Joy Waterford | Statement: [Commander Fred Waterford, spouse, Serena Joy Waterford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Serena Joy Waterford
Context triple: [Commander Fred Waterford, spouse, Serena Joy Waterford]
  • A. Serena Joy Waterford chosen
    Serena Joy Waterford is the strict, embittered Wife of a high-ranking Commander in Margaret Atwood’s "The Handmaid’s Tale," known for her complicity in and enforcement of Gilead’s oppressive regime.
  • B. Serena Brown
    Serena Brown is the daughter of Bob Brown.
  • C. Serena Rathbun
    Serena Rathbun is an American costume designer known for her work on films such as "Little Children" and "In the Bedroom."
  • D. Serena Evans
    Serena Evans is a British actress best known for her role in the BBC sitcom "The Thin Blue Line."
  • E. Serena Benson
    Serena Benson is the late mother of NYPD Captain Olivia Benson in the television series "Law & Order: Special Victims Unit," whose traumatic history and alcoholism deeply influenced Olivia's life.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529cae048190b4f8e6ba409bcf8e completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.