Triple

T6648498
Position Surface form Disambiguated ID Type / Status
Subject Marcello Lippi E150760 entity
Predicate givenName P17 FINISHED
Object Marcello E88497 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: Marcello | Statement: [Marcello Lippi, givenName, Marcello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcello
Context triple: [Marcello Lippi, givenName, Marcello]
  • A. Marcello chosen
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • B. Luciano
    Luciano is a masculine given name of Italian origin, famously borne by the renowned operatic tenor Luciano Pavarotti.
  • C. Renzo
    Renzo is the given name of Renzo Piano, the renowned Italian architect known for designing landmark buildings such as the Centre Pompidou in Paris and The Shard in London.
  • D. Stefano
    Stefano is the Italian given name corresponding to the Hungarian name István, commonly used as a male first name in Italy.
  • E. Enrico
    Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
  • 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_69c687f1a3048190828b7342f7125d5c completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b01fea4c8190a21ba7f4c2018c5e completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a65b1648190b1c9d5554927e0cb completed March 28, 2026, 12:01 a.m.
Created at: March 27, 2026, 2 p.m.