Triple

T21585634
Position Surface form Disambiguated ID Type / Status
Subject Madonna of the Harpies E532641 entity
Predicate influencedBy P9 FINISHED
Object Leonardo da Vinci 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: Leonardo da Vinci | Statement: [Madonna of the Harpies, influencedBy, Leonardo da Vinci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leonardo da Vinci
Context triple: [Madonna of the Harpies, influencedBy, Leonardo da Vinci]
  • A. Leonardo da Vinci chosen
    Leonardo da Vinci was a Renaissance polymath renowned as a master painter, inventor, scientist, and engineer whose works and ideas profoundly influenced art and science.
  • B. Leonardo da Vinci
    Leonardo da Vinci was an Italian dreadnought battleship of the early 20th century that served in the Regia Marina during World War I.
  • C. Da Vinci
    Da Vinci is a song by the American rock band Weezer from their 2014 album "Everything Will Be Alright in the End."
  • D. Leonardo
    Leonardo is the first name of Leonardo DiCaprio, the acclaimed American actor and environmental activist known for films such as Titanic and Inception.
  • E. Leonardo
    Leonardo is a central, passionate and tragic character in Federico García Lorca’s play "Bodas de sangre," whose forbidden love drives much of the drama’s conflict.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb60032881908dd35ac76392ad07 completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.