Triple

T9148530
Position Surface form Disambiguated ID Type / Status
Subject Roger Livesey E219522 entity
Predicate spouse P13 FINISHED
Object Ursula Jeans E259174 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: Ursula Jeans | Statement: [Roger Livesey, spouse, Ursula Jeans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ursula Jeans
Context triple: [Roger Livesey, spouse, Ursula Jeans]
  • A. Ursula Jeans chosen
    Ursula Jeans was a British stage and film actress known for her versatile character roles in mid-20th-century cinema and theatre.
  • B. Isabel Jeans
    Isabel Jeans was a British stage and film actress known for her sophisticated roles in early 20th-century cinema, including appearances in several Alfred Hitchcock films.
  • C. Sasson Jeans
    Sasson Jeans was a popular American denim and sportswear brand that gained prominence in the late 1970s and 1980s for its fashion-forward jeans and memorable advertising campaigns.
  • D. Vivienne Westwood
    Vivienne Westwood was a pioneering British fashion designer known for shaping punk and new wave style and for her provocative, politically charged designs.
  • E. Ben Sherman
    Ben Sherman is a rookie Los Angeles police officer and central protagonist in the television drama series "Southland," known for his moral struggles and on-the-job maturation.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca91a1fd08190a5bb3d9280439b09 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d04833858081909b616325f0e6f787 completed April 3, 2026, 11:07 p.m.
Created at: March 30, 2026, 7:20 p.m.