Triple

T1092564
Position Surface form Disambiguated ID Type / Status
Subject Theodorus van Gogh E24197 entity
Predicate relative P37 FINISHED
Object Anna Cornelia Carbentus E31878 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: Anna Cornelia Carbentus | Statement: [Theodorus van Gogh, relative, Anna Cornelia Carbentus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Cornelia Carbentus
Context triple: [Theodorus van Gogh, relative, Anna Cornelia Carbentus]
  • A. Anna Cornelia Carbentus chosen
    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.
  • B. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • C. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • D. Antoinette
    Antoinette is the birth name of Princess Muna al-Hussein, the British-born mother of King Abdullah II of Jordan.
  • E. Maria Hardouin di Gallese
    Maria Hardouin di Gallese was an Italian noblewoman best known as the wife of poet and playwright Gabriele D’Annunzio.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99bd06c8190bce1d77b0337b07c completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac66293b5c819091eb69db328d5698 completed March 7, 2026, 5:53 p.m.
Created at: March 1, 2026, 7:42 p.m.