Triple

T9481654
Position Surface form Disambiguated ID Type / Status
Subject Gerard Klein E228654 entity
Predicate name P16 FINISHED
Object Gerard Klein E228654 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: Gerard Klein | Statement: [Gerard Klein, name, Gerard Klein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerard Klein
Context triple: [Gerard Klein, name, Gerard Klein]
  • A. Gerard Klein chosen
    Gerard Klein is a French science fiction writer and editor known for his influential novels and his role in promoting speculative fiction in the Francophone world.
  • B. Gerard Moerdijk
    Gerard Moerdijk was a prominent South African architect best known for designing monumental public buildings that celebrated Afrikaner heritage.
  • C. Willem Drost
    Willem Drost was a Dutch Golden Age painter and etcher known for his Rembrandt-influenced biblical and historical scenes.
  • D. Jan van der Does
    Jan van der Does was a Dutch nobleman, poet, and military leader best known for organizing and leading the defense of Leiden during the Eighty Years' War.
  • E. Dirk Margadant
    Dirk Margadant was a Dutch architect known for designing prominent public buildings in the Netherlands, including notable railway stations.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804af6d08190a281cb27407c791c completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16122898c8190947a821f69f957cc completed April 4, 2026, 7:06 p.m.
Created at: March 30, 2026, 7:55 p.m.