Triple

T2119659
Position Surface form Disambiguated ID Type / Status
Subject Mikhailovsky Palace E43889 entity
Predicate architect P184 FINISHED
Object Carlo Rossi E45520 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: Carlo Rossi | Statement: [Mikhailovsky Palace, architect, Carlo Rossi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlo Rossi
Context triple: [Mikhailovsky Palace, architect, Carlo Rossi]
  • A. Carlo Rossi chosen
    Carlo Rossi was a prominent 19th-century Italian-born Russian architect best known for shaping the neoclassical cityscape of Saint Petersburg.
  • B. Enrico Zuccalli
    Enrico Zuccalli was a prominent 17th-century Swiss-Italian Baroque architect active in Bavaria, known for shaping Munich’s court architecture.
  • C. Ugo Cavallero
    Ugo Cavallero was an Italian general who served as Chief of the General Staff and a leading military commander for Italy during the early years of World War II.
  • D. Antonio Quarracino
    Antonio Quarracino was an Argentine cardinal of the Roman Catholic Church who served as Archbishop of Buenos Aires and played a key role in the ecclesiastical career of Pope Francis.
  • E. Enrico Casarosa
    Enrico Casarosa is an Italian storyboard artist and film director best known for directing the Pixar animated feature "Luca."
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb32efb48190bcb99f30787a3a55 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69b276a3cfa48190b0ecee43d24046e6 completed March 12, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:44 p.m.