Triple

T10416467
Position Surface form Disambiguated ID Type / Status
Subject Amadeo P. Giannini E245527 entity
Predicate givenName P17 FINISHED
Object Amadeo E203603 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: Amadeo | Statement: [Amadeo P. Giannini, givenName, Amadeo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amadeo
Context triple: [Amadeo P. Giannini, givenName, Amadeo]
  • A. Amadeo
    Amadeo is a small agricultural municipality in the province of Cavite in the Philippines, known particularly for its coffee production.
  • B. Amedeo chosen
    Amedeo is an Italian given name most famously borne by the scientist Amedeo Avogadro, known for Avogadro's law and Avogadro's number in chemistry.
  • C. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • D. Ambrogio
    Ambrogio is an Italian given name, historically borne by notable figures such as generals, artists, and saints.
  • E. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea108fec8190819423630888fa2b completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e9b86648190b83eb5261c9a7b97 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:10 p.m.