Triple

T8038141
Position Surface form Disambiguated ID Type / Status
Subject Frederik de Wit E187165 entity
Predicate alternativeName P39 FINISHED
Object Fredericus de Wit E187165 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: Fredericus de Wit | Statement: [Frederik de Wit, alternativeName, Fredericus de Wit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fredericus de Wit
Context triple: [Frederik de Wit, alternativeName, Fredericus de Wit]
  • A. Frederik de Wit chosen
    Frederik de Wit was a prominent 17th-century Dutch cartographer and publisher renowned for his richly decorated maps and atlases produced during the Dutch Golden Age of cartography.
  • B. Cornelis van Poelenburgh
    Cornelis van Poelenburgh was a Dutch Golden Age painter known for his small, finely detailed Italianate landscapes and mythological scenes.
  • C. Adriaen de Vries
    Adriaen de Vries was a prominent late Mannerist Dutch sculptor renowned for his dynamic bronze figures and service at the court of Holy Roman Emperor Rudolf II in Prague.
  • D. Cornelis Saftleven
    Cornelis Saftleven was a 17th-century Dutch painter known for his genre scenes, landscapes, and satirical works during the Dutch Golden Age.
  • E. Jan de Wit
    Jan de Wit is a Dutch computer programmer best known for creating the infamous Anna Kournikova email worm that spread rapidly across the internet in 2001.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f19a6b4819085e2887fb0c54d08 completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd340abffc8190bbc17aa9b775a9cb completed April 1, 2026, 3:04 p.m.
Created at: March 30, 2026, 5:23 p.m.