Triple

T6795797
Position Surface form Disambiguated ID Type / Status
Subject Outlander E156049 entity
Predicate castMember P1668 FINISHED
Object Lotte Verbeek E595877 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: Lotte Verbeek | Statement: [Outlander, castMember, Lotte Verbeek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lotte Verbeek
Context triple: [Outlander, castMember, Lotte Verbeek]
  • A. Lotte Verbeek chosen
    Lotte Verbeek is a Dutch actress and model best known internationally for her roles in historical drama series such as The Borgias and Outlander.
  • B. Trijntje Oosterhuis
    Trijntje Oosterhuis is a Dutch singer known for her soulful pop and jazz performances, both as a solo artist and as a former member of the group Total Touch.
  • C. Sari van Veenendaal
    Sari van Veenendaal is a Dutch professional football goalkeeper renowned for her performances with the Netherlands women’s national team and top European clubs.
  • D. Barbara Smits
    Barbara Smits was the former wife of Emmy-winning American actor Jimmy Smits and the mother of his two children.
  • E. Emily Damstra
    Emily Damstra is a Canadian-born scientific illustrator and coin designer known for her detailed nature-themed artwork for the U.S. Mint and other institutions.
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2c6e7dc8190b1f33372d047baba completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a9354448190890846c2e84bb22c completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:15 p.m.