Triple

T6518955
Position Surface form Disambiguated ID Type / Status
Subject Rossi E148330 entity
Predicate hasNotableBearer P458 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: [Rossi, hasNotableBearer, Carlo Rossi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlo Rossi
Context triple: [Rossi, hasNotableBearer, 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. 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.
  • D. 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."
  • E. Carlo Rainaldi
    Carlo Rainaldi was a prominent 17th-century Italian Baroque architect known for designing several major churches and urban monuments in Rome.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac11d0e481908103c4b51de9521e completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88013b58819098bb60188fee1465 completed April 2, 2026, 3:15 p.m.
Created at: March 27, 2026, 1:44 p.m.