Triple

T9852200
Position Surface form Disambiguated ID Type / Status
Subject Christian Hansen E239494 entity
Predicate name P16 FINISHED
Object Christian Hansen E239494 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: Christian Hansen | Statement: [Christian Hansen, name, Christian Hansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Hansen
Context triple: [Christian Hansen, name, Christian Hansen]
  • A. Christian Hansen chosen
    Christian Hansen was a German general in the Wehrmacht during World War II who held high-level field commands on the Eastern Front.
  • B. Carsten Norgaard
    Carsten Norgaard is a Danish actor known for his roles in international film and television, often appearing in genre and action-oriented projects.
  • C. Kim Milton Nielsen
    Kim Milton Nielsen is a retired Danish football referee known for officiating numerous high-profile international matches, including World Cup and UEFA Champions League games.
  • D. Michael Grunst
    Michael Grunst is a German local politician who serves as the borough mayor of Berlin’s Lichtenberg district.
  • E. Carsten Smith
    Carsten Smith is a prominent Norwegian jurist who served as Chief Justice of the Supreme Court of Norway and played a key role in developing modern Norwegian legal doctrine.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb375ba448190a32cca2b0f376ac1 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ee190c8190957451d8d8291df3 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.