Triple

T14502061
Position Surface form Disambiguated ID Type / Status
Subject Peter Viertel E340165 entity
Predicate spouse P13 FINISHED
Object Betsy Drake E94623 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: Betsy Drake | Statement: [Peter Viertel, spouse, Betsy Drake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betsy Drake
Context triple: [Peter Viertel, spouse, Betsy Drake]
  • A. Betsy Drake chosen
    Betsy Drake was an American actress and writer best known for her film work in the late 1940s and 1950s and for her influential role in the life and career of Cary Grant.
  • B. Jane Sawyer
    Jane Sawyer is a fictional character who serves as the guardian of Rebecca Randall in the classic children’s novel "Rebecca of Sunnybrook Farm."
  • C. Mary Jenkins
    Mary Jenkins is the sharp-witted, hardworking apartment building manager portrayed by Marla Gibbs on the sitcom "227."
  • D. Bessy Savage
    Bessy Savage was an English noblewoman best known as the mother of Lord Rochford, a title associated with the influential Boleyn family in Tudor England.
  • E. Susanna Drake
    Susanna Drake is the central female protagonist of the novel and film "Raintree County," whose complex relationships and personal struggles drive much of the story’s emotional and dramatic tension.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e0f9048190a2d266cfa4f9dfb6 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9b6f7481908b7eb76226a93545 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.