Triple

T10737344
Position Surface form Disambiguated ID Type / Status
Subject The Look of Love E253226 entity
Predicate editedBy P1954 FINISHED
Object Mikkel E. G. Nielsen E197166 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: Mikkel E. G. Nielsen | Statement: [The Look of Love, editedBy, Mikkel E. G. Nielsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikkel E. G. Nielsen
Context triple: [The Look of Love, editedBy, Mikkel E. G. Nielsen]
  • A. Mikkel E. G. Nielsen chosen
    Mikkel E. G. Nielsen is a Danish film editor known for his work on acclaimed international films, including the war drama "Beasts of No Nation."
  • B. Jens E. Groth
    Jens E. Groth is a cryptographer best known for his influential work on succinct non-interactive zero-knowledge proofs and other foundational advances in modern cryptographic protocols.
  • C. Brian Bech Nielsen
    Brian Bech Nielsen is a Danish physicist and academic leader who has served as rector of Aarhus University.
  • D. Mikkel S. Eriksen
    Mikkel S. Eriksen is a Norwegian songwriter and record producer best known as one half of the hit-making production duo Stargate, which has crafted numerous chart-topping pop and R&B songs.
  • E. Nikolaj Bjørner
    Nikolaj Bjørner is a computer scientist best known for his work on automated theorem proving and the development of the Z3 SMT solver.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710410a04819090036597ac0d271c completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22dce1cc8190a3511d86e8bd6d3e completed April 14, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:14 p.m.