Triple

T7659029
Position Surface form Disambiguated ID Type / Status
Subject Christensen E173455 entity
Predicate hasNotableBearer P458 FINISHED
Object Henrik Christensen E47823 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: Henrik Christensen | Statement: [Christensen, hasNotableBearer, Henrik Christensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henrik Christensen
Context triple: [Christensen, hasNotableBearer, Henrik Christensen]
  • A. Henrik Christensen chosen
    Henrik Christensen is a prominent robotics researcher and academic known for his influential contributions to computer vision, autonomous systems, and robotics education.
  • B. Bo Christensen
    Bo Christensen is a Danish film producer best known for his work on acclaimed European films, including the Oscar-winning "Babette's Feast."
  • C. Kristian Levring
    Kristian Levring is a Danish film director and screenwriter known for his visually striking, often bleak dramas and as one of the co-founders of the Dogme 95 movement.
  • D. Lars Christensen
    Lars Christensen was a prominent Norwegian shipowner and whaling magnate known for financing Antarctic expeditions and contributing to polar exploration.
  • E. Jesper Christensen
    Jesper Christensen is a Danish actor known internationally for his roles in European cinema and major Hollywood films, including the James Bond series.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a32f588190a7a923e8ce43f727 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7b5f1a48190b409230029c96fa8 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 3:59 p.m.