Triple

T18058016
Position Surface form Disambiguated ID Type / Status
Subject Hansson E432090 entity
Predicate hasVariant P455 FINISHED
Object Hanssen NE NERFINISHED

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: Hanssen | Statement: [Hansson, hasVariant, Hanssen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hanssen
Context triple: [Hansson, hasVariant, Hanssen]
  • A. Hanssen chosen
    Hanssen is a Norwegian surname most notably borne by Helmer Hanssen, a polar explorer who accompanied Roald Amundsen to the South Pole.
  • B. Christian Spies
    Christian Spies is a notable individual who shares the surname Spies and is recognized as a distinguished bearer of that name.
  • C. Osvald
    Osvald was a cover name used by members of the Osvald Group, a Norwegian resistance organization active during World War II.
  • D. Blaine Manning
    Blaine Manning is a former Canadian professional lacrosse forward best known as a star player and multiple-time NLL champion with the Toronto Rock.
  • E. Colonel Redl
    Colonel Redl is a 1985 historical drama film by István Szabó that portrays the rise and tragic downfall of an Austro-Hungarian officer entangled in espionage and political intrigue before World War I.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c1048c00819097c7dfbf76bb0987 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.