Triple

T15606525
Position Surface form Disambiguated ID Type / Status
Subject Pinturicchio E375172 entity
Predicate studentOf P48 FINISHED
Object Perugino E124903 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: Perugino | Statement: [Pinturicchio, studentOf, Perugino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perugino
Context triple: [Pinturicchio, studentOf, Perugino]
  • A. Perugino chosen
    Perugino was an Italian Renaissance painter renowned for his serene, harmonious compositions and as an important teacher and influence on Raphael.
  • B. Pinturicchio
    Pinturicchio was an Italian Renaissance painter known for his richly decorated frescoes in Rome and other Italian cities.
  • 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. Raffaellino da Reggio
    Raffaellino da Reggio was a late 16th-century Italian Mannerist painter known for his fresco decorations in prominent Roman palaces and churches.
  • E. Marcantonio Raimondi
    Marcantonio Raimondi was a pioneering Italian Renaissance engraver best known for disseminating Raphael’s compositions through highly influential prints.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678821a481908378db1ffc76ba05 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:13 a.m.