Triple

T8125115
Position Surface form Disambiguated ID Type / Status
Subject Pieter Post E189705 entity
Predicate relative P37 FINISHED
Object Frans Post E727267 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: Frans Post | Statement: [Pieter Post, relative, Frans Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frans Post
Context triple: [Pieter Post, relative, Frans Post]
  • A. Frans Post chosen
    Frans Post was a 17th-century Dutch painter best known for being one of the first European artists to depict Brazilian landscapes during the Dutch colonial period in South America.
  • B. Aert van der Neer
    Aert van der Neer was a Dutch Golden Age painter renowned for his atmospheric moonlit landscapes and winter scenes.
  • C. Cornelis van Poelenburgh
    Cornelis van Poelenburgh was a Dutch Golden Age painter known for his small, finely detailed Italianate landscapes and mythological scenes.
  • D. Emanuel de Witte
    Emanuel de Witte was a Dutch Golden Age painter renowned for his atmospheric church interiors and masterful use of light and perspective.
  • E. Gerrit Dou
    Gerrit Dou was a Dutch Golden Age painter renowned for his meticulously detailed genre scenes and mastery of light as a leading figure of the Leiden fijnschilders.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb438d3f408190a0367daf0fbca9d2 completed March 31, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde709d3188190b3a954a613c3c5b2 completed April 2, 2026, 3:48 a.m.
Created at: March 30, 2026, 5:34 p.m.