Triple

T12696561
Position Surface form Disambiguated ID Type / Status
Subject Gianluigi E303348 entity
Predicate hasComponent P35 FINISHED
Object Gian E684510 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: Gian | Statement: [Gianluigi, hasComponent, Gian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gian
Context triple: [Gianluigi, hasComponent, Gian]
  • A. Gian chosen
    Gian is an Italian given name, typically used as a short form or variant of Giovanni (the Italian equivalent of John).
  • B. Giulianino
    Giulianino is an Italian diminutive given name, typically used as an affectionate or smaller form of Giuliano.
  • C. Girardo
    Girardo is a masculine given name of Romance origin, closely related to the French name Girard and ultimately derived from Germanic elements meaning “spear” and “brave” or “hardy.”
  • D. Giordano
    Giordano is an Italian surname borne by various notable figures in fields such as literature, science, and the arts.
  • E. Raimondo
    Raimondo is the given name of Giulio Raimondo Mazzarino, better known as Cardinal Mazarin, the 17th-century Italian-born chief minister of France.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ebd17081909f983567e4b36533 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5b9e0c4819095194dc42677e17f completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 5:22 p.m.