Triple

T6462079
Position Surface form Disambiguated ID Type / Status
Subject Uffizi Gallery E142144 entity
Predicate housesWorkBy P22313 FINISHED
Object Filippo Lippi E230544 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: Filippo Lippi | Statement: [Uffizi Gallery, housesWorkBy, Filippo Lippi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Filippo Lippi
Context triple: [Uffizi Gallery, housesWorkBy, Filippo Lippi]
  • A. Filippo Lippi chosen
    Filippo Lippi was a 15th-century Italian Renaissance painter known for his graceful religious works and influence on the development of Florentine art.
  • B. Giovanni di Paolo Rucellai
    Giovanni di Paolo Rucellai was a wealthy 15th-century Florentine merchant and prominent patron of Renaissance art and architecture.
  • C. Lorenzo Scupoli
    Lorenzo Scupoli was a 16th-century Italian Theatine priest and spiritual writer best known for his influential ascetic work "The Spiritual Combat."
  • D. Domenico Ghirlandaio
    Domenico Ghirlandaio was a prominent Italian Renaissance painter of the Florentine school, renowned for his detailed fresco cycles and as the teacher of Michelangelo.
  • E. Cosimo Rosselli
    Cosimo Rosselli was a 15th-century Italian Renaissance painter known for his frescoes in the Sistine Chapel and his work in Florence.
  • 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_69c008d2f91c8190a8178767a35e08fc completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069f7e5908190ae4d8da2b14d274f completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c66382f9ac81908d9cb444ab596d04 completed March 27, 2026, 11:01 a.m.
Created at: March 22, 2026, 4:49 p.m.