Triple

T21607892
Position Surface form Disambiguated ID Type / Status
Subject Gino Severini E533224 entity
Predicate givenName P17 FINISHED
Object Gino NE NERFINISHED

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: Gino | Statement: [Gino Severini, givenName, Gino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gino
Context triple: [Gino Severini, givenName, Gino]
  • A. Gino chosen
    Gino is a masculine given name of Italian origin commonly used in Italy and among Italian communities worldwide.
  • B. Gino Giant
    Gino Giant is a signature hamburger offered by the Gino's Hamburgers fast-food chain.
  • C. Aldo
    Aldo is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • D. Vinadio
    Vinadio is a historic alpine municipality in Italy’s Piedmont region, known for its mountain fortifications and thermal baths.
  • E. Rocco
    Rocco is a Brazilian publishing house known for releasing major international bestsellers, including works like Paulo Coelho’s "The Alchemist."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e6378881908678dc903b8ba6ac completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.