Triple

T619082
Position Surface form Disambiguated ID Type / Status
Subject Antonie van Leeuwenhoek E14470 entity
Predicate givenName P17 FINISHED
Object Antonie E28227 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: Antonie | Statement: [Antonie van Leeuwenhoek, givenName, Antonie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonie
Context triple: [Antonie van Leeuwenhoek, givenName, Antonie]
  • A. Ignacy
    Ignacy is a masculine given name of Polish origin, historically borne by several notable figures including scientists, politicians, and religious leaders.
  • B. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • C. Anton chosen
    Anton is a masculine given name of Latin origin, commonly used in various European and Slavic countries.
  • D. Anna Cornelia Carbentus
    Anna Cornelia Carbentus was the Dutch mother of painter Vincent van Gogh, known primarily through her connection to her famous son and surviving family correspondence.
  • E. Bettina
    Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e25956c8190a1eed87002548658 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a566ff095081909a897d3001955514 completed March 2, 2026, 10:31 a.m.
Created at: March 1, 2026, 7:35 p.m.