Triple

T13519707
Position Surface form Disambiguated ID Type / Status
Subject Romeo and Juliet (1968 film) E322860 entity
Predicate starred P5563 FINISHED
Object Olivia Hussey E1044058 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: Olivia Hussey | Statement: [Romeo and Juliet (1968 film), starred, Olivia Hussey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivia Hussey
Context triple: [Romeo and Juliet (1968 film), starred, Olivia Hussey]
  • A. Olivia Hussey chosen
    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."
  • B. Sue Lyon
    Sue Lyon was an American actress best known for her provocative title role in Stanley Kubrick’s film "Lolita" (1962).
  • C. Kathleen Robertson
    Kathleen Robertson is a Canadian actress known for her roles in television series like "Beverly Hills, 90210" and "Boss," as well as various film and genre projects.
  • D. Isabella Colbran
    Isabella Colbran was a celebrated Spanish opera singer of the early 19th century, renowned as a leading dramatic soprano and muse for many of Gioachino Rossini’s operatic roles.
  • E. Noel Neill
    Noel Neill was an American actress best known for playing Lois Lane in the classic Superman film serials and the 1950s television series "Adventures of Superman."
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d93a2608190a3a693bf4086a010 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.