Triple

T10892098
Position Surface form Disambiguated ID Type / Status
Subject The Road to Yesterday E257202 entity
Predicate starredActor P5563 FINISHED
Object Rose Dione E254349 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: Rose Dione | Statement: [The Road to Yesterday, starredActor, Rose Dione]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rose Dione
Context triple: [The Road to Yesterday, starredActor, Rose Dione]
  • A. Rose Dione chosen
    Rose Dione was a French-born actress active in early American silent cinema, known for character roles in films such as the 1921 adaptation of "Little Lord Fauntleroy."
  • B. Madelaine
    Madelaine is a character in the Danish crime thriller film "The Salvation."
  • C. Grace Rose
    Grace Rose is a painting by the Victorian English artist Frederic Sandys, known for its richly detailed Pre-Raphaelite style and evocative portrayal of a female subject.
  • D. Daisy Diamond
    Daisy Diamond is a 2007 Danish drama film directed by Simon Staho, known for Noomi Rapace’s intense and harrowing lead performance as a struggling young mother.
  • E. Paris Morgan
    Paris Morgan is the popular high-school love interest portrayed by Christina Milian in the 2003 teen romantic comedy film "Love Don't Cost a Thing."
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75206354881908b148f2df3938513 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1550d6b4081909483c5dfa6e85671 completed April 16, 2026, 9:30 p.m.
Created at: April 8, 2026, 9:21 p.m.