Triple

T12163516
Position Surface form Disambiguated ID Type / Status
Subject Municipal Theatre of São Paulo E289770 entity
Predicate architect P184 FINISHED
Object Domiziano Rossi E289770 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: Domiziano Rossi | Statement: [Municipal Theatre of São Paulo, architect, Domiziano Rossi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Domiziano Rossi
Context triple: [Municipal Theatre of São Paulo, architect, Domiziano Rossi]
  • A. Domiziano Rossi chosen
    Domiziano Rossi was an architect known for designing the Municipal Theatre of São Paulo, one of Brazil’s most important historic opera houses.
  • B. Marcello Romolo
    Marcello Romolo is an actor known for his role in the television series "The Young Pope."
  • C. Luigi Rossi
    Luigi Rossi is a notable Italian composer of the early Baroque era, recognized especially for his operas and cantatas.
  • D. Giacomo Rossi
    Giacomo Rossi was an Italian librettist best known for writing texts for early 18th-century operas, including works set by George Frideric Handel.
  • E. Antonio Quercia
    Antonio Quercia is a Chilean cinematographer known for his work on genre films, including Eli Roth’s horror movie "The Green Inferno."
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c498a081908389598d0c247505 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e4deb308190aa1a99a78d46b461 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:50 p.m.