Triple

T15767228
Position Surface form Disambiguated ID Type / Status
Subject Pieter de Putter E382253 entity
Predicate name P16 FINISHED
Object Pieter de Putter E382253 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: Pieter de Putter | Statement: [Pieter de Putter, name, Pieter de Putter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pieter de Putter
Context triple: [Pieter de Putter, name, Pieter de Putter]
  • A. Pieter de Putter chosen
    Pieter de Putter was a Dutch Golden Age painter known for his pioneering still lifes of fish and game.
  • B. Jan Joosten van Lodensteijn
    Jan Joosten van Lodensteijn was a Dutch navigator and one of the first Western advisers to the Tokugawa shogunate in Japan in the early 17th century.
  • C. Gerrit Reynst
    Gerrit Reynst was a prominent 17th-century Dutch merchant and art collector known for assembling an important collection of Italian paintings and classical sculptures.
  • D. Nicolaes van Gelder
    Nicolaes van Gelder was a 17th-century Dutch painter known for his still-life compositions.
  • E. Nicolaes de Vree
    Nicolaes de Vree was a Dutch Golden Age painter known for his landscapes and still lifes.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051951bac8190a7d45f3612c6de72 completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff877a67008190b05f879d05876fd3 completed May 9, 2026, 7:14 p.m.
Created at: April 10, 2026, 4:47 a.m.