Triple

T1146772
Position Surface form Disambiguated ID Type / Status
Subject Theo van Gogh E23583 entity
Predicate mother P120 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: [Theo van Gogh, mother, Anna Cornelia Carbentus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Cornelia Carbentus
Context triple: [Theo van Gogh, mother, 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc6e8c2081909fb3534413b7aacb completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac76405074819089f001916748b466 completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:44 p.m.