Triple

T11222188
Position Surface form Disambiguated ID Type / Status
Subject Yelagin Palace E265596 entity
Predicate hasArchitect 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: [Yelagin Palace, hasArchitect, Carlo Rossi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlo Rossi
Context triple: [Yelagin Palace, hasArchitect, 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. Luciano Rossi
    Luciano Rossi is an Italian actor best known for his character roles in Spaghetti Westerns and crime films of the 1960s and 1970s.
  • C. Enrico Colantoni
    Enrico Colantoni is a Canadian actor best known for his roles in television series such as Veronica Mars and Just Shoot Me!, as well as films like Galaxy Quest.
  • D. Carlo Di Palma
    Carlo Di Palma was an acclaimed Italian cinematographer best known for his innovative work with directors like Michelangelo Antonioni and Woody Allen.
  • E. Guido Quaroni
    Guido Quaroni is an Italian-born Pixar technical director and voice actor best known for voicing the character Guido in the animated film "Cars."
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ec8fb08190b27144ab65f85957 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a2796cc81908b6d4cf71f39e88a completed May 8, 2026, 5:52 a.m.
Created at: April 8, 2026, 9:30 p.m.