Triple

T7532096
Position Surface form Disambiguated ID Type / Status
Subject Grease E178047 entity
Predicate castMember P1668 FINISHED
Object Olivia Newton-John E75608 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 Newton-John | Statement: [Grease, castMember, Olivia Newton-John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivia Newton-John
Context triple: [Grease, castMember, Olivia Newton-John]
  • A. Olivia Newton-John chosen
    Olivia Newton-John was a British-Australian singer and actress best known for her role as Sandy in the film musical "Grease" and for hit songs such as "Physical."
  • B. Brinley Newton-John
    Brinley Newton-John was a Welsh-born academic and educator best known as the father of singer and actress Olivia Newton-John.
  • C. Barbara West
    Barbara West is an actress known for her role in the acclaimed Australian psychological horror film "The Babadook."
  • D. Loni Anderson
    Loni Anderson is an American actress best known for her role as Jennifer Marlowe on the television sitcom "WKRP in Cincinnati."
  • E. Sarah Brightman
    Sarah Brightman is an English classical crossover soprano and actress renowned for originating the role of Christine Daaé in Andrew Lloyd Webber’s "The Phantom of the Opera" and for her influential crossover recordings.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f84753fc81908bee2013004ef5fb completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f03485c8190829beb95a8be0236 completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:47 p.m.