Triple

T4320367
Position Surface form Disambiguated ID Type / Status
Subject Borgia Apartments E96498 entity
Predicate decoratedBy P23430 FINISHED
Object Pinturicchio E375172 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: Pinturicchio | Statement: [Borgia Apartments, decoratedBy, Pinturicchio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinturicchio
Context triple: [Borgia Apartments, decoratedBy, Pinturicchio]
  • A. Pinturicchio chosen
    Pinturicchio was an Italian Renaissance painter known for his richly decorated frescoes in Rome and other Italian cities.
  • B. Perugino
    Perugino was an Italian Renaissance painter renowned for his serene, harmonious compositions and as an important teacher and influence on Raphael.
  • C. Luca Signorelli
    Luca Signorelli was an Italian Renaissance painter renowned for his powerful, anatomically precise frescoes and dramatic compositions, particularly in the Orvieto Cathedral.
  • 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. Carlo Dolci
    Carlo Dolci was a 17th-century Italian Baroque painter from Florence, renowned for his highly finished, devout religious works and meticulous attention to detail.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35114ed2c8190949c5d8032d7b921 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b66b29cbe4819083788fe6e3e8ba3b completed March 15, 2026, 8:17 a.m.
Created at: March 12, 2026, 11:12 p.m.