Triple

T9839171
Position Surface form Disambiguated ID Type / Status
Subject "Z3: An Efficient SMT Solver" E239177 entity
Predicate authors P63068 FINISHED
Object Nikolaj Bjørner E46992 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: Nikolaj Bjørner | Statement: ["Z3: An Efficient SMT Solver", authors, Nikolaj Bjørner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikolaj Bjørner
Context triple: ["Z3: An Efficient SMT Solver", authors, Nikolaj Bjørner]
  • A. Nikolaj Bjørner chosen
    Nikolaj Bjørner is a computer scientist best known for his work on automated theorem proving and the development of the Z3 SMT solver.
  • B. Mikkel E. G. Nielsen
    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."
  • C. 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.
  • D. Ingvard Eversen Nielsen
    Ingvard Eversen Nielsen was the father of Canadian-American actor and comedian Leslie Nielsen.
  • E. Steen Eiler Rasmussen
    Steen Eiler Rasmussen was a Danish architect, urban planner, and author renowned for his influential writings on architecture and city planning, including the classic work "Experiencing Architecture."
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34921b881909836ba0f5b42a27b completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1ead061388190abbed7eb29e8ea52 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:33 p.m.