Triple

T16219817
Position Surface form Disambiguated ID Type / Status
Subject Gabriel Basso E393693 entity
Predicate familyName P18 FINISHED
Object Basso
Basso is a surname of Italian origin borne by various notable individuals in fields such as acting, music, and sports.
 E1200705 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: Basso | Statement: [Gabriel Basso, familyName, Basso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Basso
Context triple: [Gabriel Basso, familyName, Basso]
  • A. Bassi
    Bassi is a town in the Indian state of Rajasthan, known for its traditional Rajasthani culture and proximity to Jaipur.
  • B. Bassi
    Bassi is an Italian surname most notably associated with Laura Bassi, an 18th-century physicist and one of the first women to earn a university chair in Europe.
  • C. Bazzini
    Bazzini is an Italian surname most notably associated with the 19th-century violinist and composer Antonio Bazzini.
  • D. Bassiano
    Bassiano is a small hill town in the Lazio region of central Italy, known for its medieval architecture and scenic setting in the Lepini Mountains.
  • E. Merlo
    Merlo is a popular tourist town in Argentina known for its mild climate, mountain scenery, and outdoor recreational activities.
  • 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: Basso
Triple: [Gabriel Basso, familyName, Basso]
Generated description
Basso is a surname of Italian origin borne by various notable individuals in fields such as acting, music, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Basso
Target entity description: Basso is a surname of Italian origin borne by various notable individuals in fields such as acting, music, and sports.
  • A. Bassi
    Bassi is a town in the Indian state of Rajasthan, known for its traditional Rajasthani culture and proximity to Jaipur.
  • B. Bassi
    Bassi is an Italian surname most notably associated with Laura Bassi, an 18th-century physicist and one of the first women to earn a university chair in Europe.
  • C. Bazzini
    Bazzini is an Italian surname most notably associated with the 19th-century violinist and composer Antonio Bazzini.
  • D. Bassiano
    Bassiano is a small hill town in the Lazio region of central Italy, known for its medieval architecture and scenic setting in the Lepini Mountains.
  • E. Merlo
    Merlo is a popular tourist town in Argentina known for its mild climate, mountain scenery, and outdoor recreational activities.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fabf708190a624c1ed8ce48b0a completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007987cd881908ebc01141028c0a5 completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00081162348190ba0bfb55b8d01e6d completed May 10, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_6a00087e244881908cefdfc6e4b46251 completed May 10, 2026, 4:24 a.m.
Created at: April 10, 2026, 5:03 a.m.