Triple

T18936972
Position Surface form Disambiguated ID Type / Status
Subject Gino Levi-Montalcini E463273 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 Levi-Montalcini, givenName, Gino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gino
Context triple: [Gino Levi-Montalcini, 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3e8fdb48190ae70cb23c5bc2c97 completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.