Triple

T11173849
Position Surface form Disambiguated ID Type / Status
Subject William Jøhnk Nielsen E264353 entity
Predicate name P16 FINISHED
Object William Jøhnk Nielsen E264353 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: William Jøhnk Nielsen | Statement: [William Jøhnk Nielsen, name, William Jøhnk Nielsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Jøhnk Nielsen
Context triple: [William Jøhnk Nielsen, name, William Jøhnk Nielsen]
  • A. William Jøhnk Nielsen chosen
    William Jøhnk Nielsen is a Danish actor best known for his role in the Academy Award-winning film "In a Better World."
  • B. Niels Christensen
    Niels Christensen is a relatively obscure individual whose name is notably borne by at least one person of some recorded significance, though specific widely known achievements are not clearly documented.
  • C. Niels Jensen
    Niels Jensen is a software entrepreneur best known as one of the founders of the software company Borland.
  • D. Rob Nielsen
    Rob Nielsen is an individual known primarily as the child of Erik Nielsen.
  • E. Ulrich Nielsen
    Ulrich Nielsen is a troubled police officer and family man in the German sci-fi thriller series "Dark," whose actions across multiple timelines are central to the show's interwoven mysteries.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e897774c819088ebc7231cebfba6 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58ac418f08190b2936e8dbf9fb27d completed April 20, 2026, 2:09 a.m.
Created at: April 8, 2026, 9:29 p.m.