Triple

T23181319
Position Surface form Disambiguated ID Type / Status
Subject Juliet Prowse E579463 entity
Predicate name P16 FINISHED
Object Juliet Prowse E579463 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: Juliet Prowse | Statement: [Juliet Prowse, name, Juliet Prowse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juliet Prowse
Context triple: [Juliet Prowse, name, Juliet Prowse]
  • A. Juliet Prowse chosen
    Juliet Prowse was a British-American dancer and actress renowned for her energetic performances in film, television, and on stage during the 1960s and 1970s.
  • B. Helen Derby Merrien
    Helen Derby Merrien was the first wife of American actor Burgess Meredith, known primarily for her marriage to the acclaimed stage and screen performer.
  • C. Frances Jackson
    Frances Jackson is known as the spouse of TJ Jackson, a member of the Jackson family connected to the famed musical Jackson dynasty.
  • D. Debra Paget
    Debra Paget is an American actress best known for her roles in 1950s Hollywood epics and adventure films, including prominent performances in movies like "The Ten Commandments" and "Love Me Tender."
  • E. Olivia Hussey
    Olivia Hussey is an Argentine-British actress best known for her role as Juliet in Franco Zeffirelli’s 1968 film adaptation of "Romeo and Juliet."
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6f770c81908622085693e37123 completed April 29, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30b1bb248190acc8f31308f736bc completed May 19, 2026, 9:43 a.m.
Created at: April 17, 2026, 4:05 p.m.