Triple

T5839879
Position Surface form Disambiguated ID Type / Status
Subject Anichkov Palace E129563 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: [Anichkov Palace, architect, Carlo Rossi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlo Rossi
Context triple: [Anichkov 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 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.
  • C. 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."
  • D. Carlo De Benedetti
    Carlo De Benedetti is an Italian industrialist and publisher known for leading major companies such as Olivetti and for his influential role in European business and media.
  • E. Enrico Zuccalli
    Enrico Zuccalli was a prominent 17th-century Swiss-Italian Baroque architect active in Bavaria, known for shaping Munich’s court architecture.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a852f88190a5d2c4b24ee17491 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c998a68c24819099abe74525830812 completed March 29, 2026, 9:24 p.m.
Created at: March 22, 2026, 3:54 p.m.