Triple

T20745847
Position Surface form Disambiguated ID Type / Status
Subject Carsten Smith E510580 entity
Predicate name P16 FINISHED
Object Carsten Smith 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: Carsten Smith | Statement: [Carsten Smith, name, Carsten Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carsten Smith
Context triple: [Carsten Smith, name, Carsten Smith]
  • A. Carsten Smith chosen
    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.
  • B. Carsten Lund
    Carsten Lund is a theoretical computer scientist known for his contributions to computational complexity theory, including work on interactive proofs and the MIP = NEXP result.
  • C. 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.
  • D. Lars Christensen
    Lars Christensen was a prominent Norwegian shipowner and whaling magnate known for financing Antarctic expeditions and contributing to polar exploration.
  • E. Jens Christensen
    Jens Christensen is a relatively common Scandinavian personal name shared by multiple individuals across fields such as politics, sports, and academia.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c212b744819089bc1d47a020bd61 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.