Triple

T4710255
Position Surface form Disambiguated ID Type / Status
Subject Norberto Bobbio E104490 entity
Predicate givenName P17 FINISHED
Object Norberto
Norberto is an Italian given name most notably borne by the influential legal and political philosopher Norberto Bobbio.
 E471782 NE FINISHED

How this triple was built (4 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: Norberto | Statement: [Norberto Bobbio, givenName, Norberto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Norberto
Context triple: [Norberto Bobbio, givenName, Norberto]
  • A. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • B. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • C. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Gilberto
    Gilberto is a masculine given name of Romance-language origin, commonly used in Italian, Spanish, and Portuguese-speaking countries.
  • E. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Norberto
Triple: [Norberto Bobbio, givenName, Norberto]
Generated description
Norberto is an Italian given name most notably borne by the influential legal and political philosopher Norberto Bobbio.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Norberto
Target entity description: Norberto is an Italian given name most notably borne by the influential legal and political philosopher Norberto Bobbio.
  • A. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • B. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • C. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Gilberto
    Gilberto is a masculine given name of Romance-language origin, commonly used in Italian, Spanish, and Portuguese-speaking countries.
  • E. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • F. None of above. chosen

Provenance (5 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63ee712c81908da60aa0df58efe0 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d7ad90c8190b6f36472a209a0f9 completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4f0a6f548190beb90be3c17611a6 completed March 21, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_69be4f623e808190969536dce2db2e35 completed March 21, 2026, 7:57 a.m.
Created at: March 20, 2026, 1:17 p.m.