Triple

T18139792
Position Surface form Disambiguated ID Type / Status
Subject Melancholia E434230 entity
Predicate stars P1956 FINISHED
Object Charlotte Rampling NE NERFINISHED

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: Charlotte Rampling | Statement: [Melancholia, stars, Charlotte Rampling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Rampling
Context triple: [Melancholia, stars, Charlotte Rampling]
  • A. Charlotte Rampling chosen
    Charlotte Rampling is an acclaimed English actress known for her intense, enigmatic performances in European art-house cinema and major international films.
  • B. Caroline Huppert
    Caroline Huppert is a French film and television director known for her work in French cinema and as the sister of actress Isabelle Huppert.
  • C. Janet McTeer
    Janet McTeer is an acclaimed English actress known for her powerful stage and screen performances, including award-winning roles in film, television, and theatre.
  • D. Vanessa Redgrave
    Vanessa Redgrave is an acclaimed English actress known for her powerful performances in film, television, and theatre, and for being one of the most respected performers of her generation.
  • E. Helen Mirren
    Helen Mirren is an acclaimed British actress renowned for her versatile performances in film, television, and theatre, including her Academy Award–winning portrayal of Queen Elizabeth II in "The Queen."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0a59d08190be74c1ecc00a8f3a completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.