Triple

T16648767
Position Surface form Disambiguated ID Type / Status
Subject Murder on the Orient Express (1974 film) E404544 entity
Predicate castMember P1668 FINISHED
Object Rachel Roberts E524585 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: Rachel Roberts | Statement: [Murder on the Orient Express (1974 film), castMember, Rachel Roberts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Roberts
Context triple: [Murder on the Orient Express (1974 film), castMember, Rachel Roberts]
  • A. Rachel Roberts chosen
    Rachel Roberts was a Welsh actress known for her intense, emotionally powerful performances in British and international films during the mid-20th century.
  • B. Rachel Roberts
    Rachel Roberts is a Canadian model and actress known for her work in fashion campaigns and films such as "Simone" and "Entourage."
  • C. Laura Roberts
    Laura Roberts is known primarily as the wife of American television and film composer Earle Hagen.
  • D. Nancy Robertson
    Nancy Robertson is the wife of prominent Canadian news anchor Lloyd Robertson.
  • E. Kelly Roberts
    Kelly Roberts is a businesswoman best known for owning and overseeing the historic Mission Inn Hotel & Spa in Riverside, California.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad794388190b2817d2ec5ff0de0 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2f1da48190a1a01dbe25f8f0e9 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:18 a.m.