Triple

T279707
Position Surface form Disambiguated ID Type / Status
Subject Malena Ernman E5325 entity
Predicate spouse P13 FINISHED
Object Svante Thunberg E8448 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: Svante Thunberg | Statement: [Malena Ernman, spouse, Svante Thunberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svante Thunberg
Context triple: [Malena Ernman, spouse, Svante Thunberg]
  • A. Svante Thunberg chosen
    Svante Thunberg is a Swedish actor, author, and producer best known as the father and manager of climate activist Greta Thunberg.
  • B. Olof Thunberg
    Olof Thunberg was a Swedish actor and director known for his extensive work in film, television, and voice acting, including being the Swedish voice of Disney’s Winnie the Pooh.
  • C. Greta Thunberg
    Greta Thunberg is a Swedish environmental activist internationally known for catalyzing the global youth climate movement and pressuring world leaders to take stronger action on climate change.
  • D. Tonje Brenna
    Tonje Brenna is a Norwegian politician from the Labour Party who has held prominent leadership roles and served as a government minister.
  • E. Malala Yousafzai
    Malala Yousafzai is a Pakistani education activist and Nobel Peace Prize laureate known for advocating girls’ right to schooling after surviving a Taliban assassination attempt.
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25def95c48190bb8ab2259f67b583 completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a394a2b1a081909bb78499544984da completed March 1, 2026, 1:21 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.