Triple

T14072329
Position Surface form Disambiguated ID Type / Status
Subject Johannes Bogerman E338640 entity
Predicate name P16 FINISHED
Object Johannes Bogerman E338640 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: Johannes Bogerman | Statement: [Johannes Bogerman, name, Johannes Bogerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johannes Bogerman
Context triple: [Johannes Bogerman, name, Johannes Bogerman]
  • A. Johannes Bogerman chosen
    Johannes Bogerman was a prominent Dutch Reformed theologian best known for presiding over the Synod of Dort (1618–1619), which produced the Canons of Dort and shaped Calvinist doctrine.
  • B. Thomas Heggen
    Thomas Heggen was an American author best known for his World War II–era novel "Mister Roberts," which became a hugely successful play and film.
  • C. Viggo F. Jensen
    Viggo F. Jensen is a distinguished Danish scientist recognized for his significant contributions to research, as evidenced by honors such as the Ole Rømer Medal.
  • D. Lars Bak
    Lars Bak is a Danish computer scientist and software engineer best known for designing high-performance virtual machines and just-in-time compilers for languages such as Java and JavaScript.
  • E. Lars Gyllensten
    Lars Gyllensten was a Swedish author, physician, and long-serving member of the Swedish Academy known for his intellectually rigorous and experimental literary works.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5aa828819098ef55a70a0decbc completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd09f69c08190b5cd12f9ff1a3f73 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.