Triple

T19536823
Position Surface form Disambiguated ID Type / Status
Subject Odense Cathedral School E488787 entity
Predicate hasNotableAlumni P51 FINISHED
Object Piet Hein 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: Piet Hein | Statement: [Odense Cathedral School, hasNotableAlumni, Piet Hein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piet Hein
Context triple: [Odense Cathedral School, hasNotableAlumni, Piet Hein]
  • A. Piet Hein chosen
    Piet Hein was a renowned Danish scientist, mathematician, inventor, designer, and poet best known for his "grooks" and contributions to design and geometry.
  • B. Piet Hein
    Piet Hein was a famed 17th-century Dutch admiral and privateer best known for capturing the Spanish treasure fleet during the Eighty Years' War.
  • C. Piet Hein Donner
    Piet Hein Donner is a Dutch Christian Democratic politician and jurist who served in multiple high-profile roles, including Minister of Justice and later Vice President of the Council of State in the Netherlands.
  • D. Theofil Hansen
    Theofil Hansen was a 19th-century Danish architect renowned for his neoclassical public buildings in Athens and other parts of Europe.
  • E. Bent Fuglede
    Bent Fuglede is a Danish mathematician known for his contributions to functional analysis and operator theory.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6386f0fac819081bbc29172c8965e completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.