Triple

T12569330
Position Surface form Disambiguated ID Type / Status
Subject Gianni Rivera E295558 entity
Predicate nickname P55 FINISHED
Object Gianni E543193 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: Gianni | Statement: [Gianni Rivera, nickname, Gianni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gianni
Context triple: [Gianni Rivera, nickname, Gianni]
  • A. Gianni chosen
    Gianni is an Italian given name commonly used for men, often as a diminutive of Giovanni.
  • B. Giorgio
    Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
  • C. Jep Gambardella
    Jep Gambardella is a jaded, aging Roman journalist and socialite who reflects on beauty, decadence, and the passage of time in Paolo Sorrentino’s film "The Great Beauty."
  • D. Stefano
    Stefano is the Italian given name corresponding to the Hungarian name István, commonly used as a male first name in Italy.
  • E. Gabrio
    Gabrio is an Italian given name, typically considered a variant or related form of Gabriele.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a422c88190a22cc34d2eac00ce completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718ef43481909023a82425283f5b completed May 2, 2026, 9:50 p.m.
Created at: April 8, 2026, 11:50 p.m.