Triple

T1520078
Position Surface form Disambiguated ID Type / Status
Subject Raoul Wallenberg E32206 entity
Predicate familyName P18 FINISHED
Object Wallenberg E32206 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: Wallenberg | Statement: [Raoul Wallenberg, familyName, Wallenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wallenberg
Context triple: [Raoul Wallenberg, familyName, Wallenberg]
  • A. Raoul Wallenberg chosen
    Raoul Wallenberg was a Swedish diplomat renowned for saving tens of thousands of Hungarian Jews from the Holocaust during World War II.
  • B. Gustaf
    Gustaf is the given name of Carl Gustaf Emil Mannerheim, the Finnish military leader and statesman who served as Commander-in-Chief during World War II and later as President of Finland.
  • C. Svante
    Svante is the given name of Swedish geneticist Svante Pääbo, a Nobel Prize–winning pioneer in the field of paleogenomics.
  • D. Olof
    Olof is a Scandinavian male given name, particularly common in Sweden and Norway, derived from Old Norse and borne by various notable historical and cultural figures.
  • E. Marcus Wallenberg
    Marcus Wallenberg was a prominent Swedish banker and industrialist from the influential Wallenberg family, known for shaping major Swedish corporations and the country’s postwar industrial development.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907eeca38819096d5696922449638 completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad294d01c48190bb2f49ad4f1b0a1a completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.