Triple

T2291709
Position Surface form Disambiguated ID Type / Status
Subject Titian E51518 entity
Predicate name P16 FINISHED
Object Titian E51518 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: Titian | Statement: [Titian, name, Titian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Titian
Context triple: [Titian, name, Titian]
  • A. Titian chosen
    Titian was a leading 16th-century Venetian Renaissance painter renowned for his masterful use of color and influential portraits, religious scenes, and mythological works.
  • B. Tintoretto
    Tintoretto was a prominent 16th-century Venetian painter of the late Renaissance, renowned for his dramatic use of perspective, bold lighting, and dynamic compositions.
  • C. Tiziano Martini
    Tiziano Martini is an Italian artist known for his contemporary abstract painting and experimental use of materials and surfaces.
  • D. Giorgione
    Giorgione was an influential Italian painter of the Venetian school whose poetic, atmospheric style helped shape the High Renaissance.
  • E. Veronese
    Veronese was a prominent 16th-century Italian Renaissance painter known for his grand, color-rich Venetian canvases and elaborate narrative compositions.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5b50df481908a3d8f71d245e8fa completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8952322c81909d58b89139f51a27 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:48 p.m.