Triple

T9966800
Position Surface form Disambiguated ID Type / Status
Subject Carlo Collodi E195702 entity
Predicate wrote P2831 FINISHED
Object Giannettino E832099 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: Giannettino | Statement: [Carlo Collodi, wrote, Giannettino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giannettino
Context triple: [Carlo Collodi, wrote, Giannettino]
  • A. Giannettino chosen
    Giannettino is a lesser-known didactic children's book by Italian author Carlo Collodi, written before his famous "Pinocchio" and centered on the moral and civic education of a young boy.
  • B. Giannino
    Giannino is an Italian given name, commonly used as a familiar or affectionate form of Giovanni.
  • C. Giulianino
    Giulianino is an Italian diminutive given name, typically used as an affectionate or smaller form of Giuliano.
  • D. Gabrio
    Gabrio is an Italian given name, typically considered a variant or related form of Gabriele.
  • E. Chiamparino
    Chiamparino is an Italian surname most notably associated with Sergio Chiamparino, a prominent center-left politician and former mayor of Turin.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71dc50081909329722dc087c9f6 completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257c002cc8190becc9730b2c01782 completed April 5, 2026, 12:38 p.m.
Created at: March 30, 2026, 8:47 p.m.