Triple

T802992
Position Surface form Disambiguated ID Type / Status
Subject Piet Hein E17168 entity
Predicate name P16 FINISHED
Object Piet Hein E17168 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: Piet Hein | Statement: [Piet Hein, name, Piet Hein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piet Hein
Context triple: [Piet Hein, name, Piet Hein]
  • A. Piet Hein chosen
    Piet Hein was a famed 17th-century Dutch admiral and privateer best known for capturing the Spanish treasure fleet during the Eighty Years' War.
  • B. Christian Lous Lange
    Christian Lous Lange was a Norwegian historian, political scientist, and prominent internationalist who shared the 1921 Nobel Peace Prize for his work as secretary-general of the Inter-Parliamentary Union.
  • C. Gunnar Wejke
    Gunnar Wejke was a Swedish architect known for co-designing major public buildings, including the multi-purpose arena Scandinavium in Gothenburg.
  • D. Herman Saftleven
    Herman Saftleven was a 17th-century Dutch painter and draughtsman known for his detailed river landscapes and topographical views.
  • E. Niels Torp
    Niels Torp is a Norwegian architect known for designing prominent public and commercial buildings in Norway and abroad.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aabd9fc081908ccadd8e8769de2d completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68924e1048190ba60034c8b8b3b9e completed March 3, 2026, 7:09 a.m.
Created at: March 1, 2026, 7:38 p.m.