Triple

T22839294
Position Surface form Disambiguated ID Type / Status
Subject Clara Serena Rubens E566034 entity
Predicate familyName P18 FINISHED
Object Rubens NE NERFINISHED

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: Rubens | Statement: [Clara Serena Rubens, familyName, Rubens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rubens
Context triple: [Clara Serena Rubens, familyName, Rubens]
  • A. Jan Rubens
    Jan Rubens was a 16th-century German lawyer and the father of the Flemish Baroque painter Peter Paul Rubens.
  • B. Peter Paul Rubens chosen
    Peter Paul Rubens was a prolific 17th-century Flemish Baroque painter renowned for his dynamic compositions, vibrant color, and dramatic depictions of religious, mythological, and historical subjects.
  • C. Leonardo Velázquez
    Leonardo Velázquez was a Mexican composer best known for his evocative film scores in Mexican cinema, including work on acclaimed dramas of the late 20th century.
  • D. Diego Velázquez
    Diego Velázquez was a leading 17th-century Spanish painter renowned for his masterful realism and influential works such as "Las Meninas," which made him a central figure of the Spanish Golden Age.
  • E. Titian
    Titian was a leading 16th-century Venetian Renaissance painter renowned for his masterful use of color and influential portraits, religious scenes, and mythological works.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8325948190a3b63f2cd0371373 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.