Triple

T1101577
Position Surface form Disambiguated ID Type / Status
Subject Francesco Borromini E24391 entity
Predicate givenName P17 FINISHED
Object Francesco E111410 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: Francesco | Statement: [Francesco Borromini, givenName, Francesco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francesco
Context triple: [Francesco Borromini, givenName, Francesco]
  • A. Francesco chosen
    Francesco is the birth name of Frank Capra, the renowned Italian-American film director known for classic Hollywood movies such as "It's a Wonderful Life."
  • B. Giacomo
    Giacomo is the Italian form of the given name James, commonly used as a male first name in Italy.
  • C. Pietro
    Pietro is the Italian given name equivalent to "Peter," commonly used in Italy and among Italian-speaking communities.
  • D. Maffeo
    Maffeo is the given name of Pope Urban VIII, the 17th-century head of the Catholic Church known for his patronage of the arts and involvement in the Galileo affair.
  • E. Giovanni
    Giovanni was the birth name of Pope Leo X, the influential early 16th-century head of the Catholic Church and a prominent patron of Renaissance art and culture.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9c21c2c8190a34d91a7afed23a9 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde0311d88190a3cd04c7e00253e2 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:43 p.m.