Triple

T16709699
Position Surface form Disambiguated ID Type / Status
Subject Torp E406071 entity
Predicate hasNotableBearer P458 FINISHED
Object Niels Torp E87153 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: Niels Torp | Statement: [Torp, hasNotableBearer, Niels Torp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niels Torp
Context triple: [Torp, hasNotableBearer, Niels Torp]
  • A. Niels Torp chosen
    Niels Torp is a Norwegian architect known for designing prominent public and commercial buildings in Norway and abroad.
  • B. Morten Ristorp
    Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
  • C. Morten Giese
    Morten Giese is a Danish film editor and director known for his work on the thriller "Nightwatch" (1994) and various other Scandinavian film and television projects.
  • D. Erik Skjoldbjærg
    Erik Skjoldbjærg is a Norwegian film director and screenwriter known for his atmospheric psychological thrillers and influential contributions to Scandinavian cinema.
  • E. Henrik Uldalen
    Henrik Uldalen is a contemporary Norwegian figurative painter known for his ethereal, dreamlike portraits that blend realism with surreal and abstract elements.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3865186b48190bb45a761f5cf1a83 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014136275c819084da2756632e0f48 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:20 a.m.