Triple

T11094463
Position Surface form Disambiguated ID Type / Status
Subject Gato Barbieri E262341 entity
Predicate familyName P18 FINISHED
Object Barbieri
Barbieri is a surname of Italian origin borne by various notable individuals across fields such as music, sports, and the arts.
 E904394 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: Barbieri | Statement: [Gato Barbieri, familyName, Barbieri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barbieri
Context triple: [Gato Barbieri, familyName, Barbieri]
  • A. Barbato
    Barbato is an Italian surname associated with individuals of Italian heritage, including Nancy Barbato, the first wife of singer Frank Sinatra.
  • B. Bertinelli
    Bertinelli is an Italian-origin surname most prominently associated with American actress and television personality Valerie Bertinelli.
  • C. Scarlino
    Scarlino is a historic Tuscan town in central Italy, known for its medieval hilltop setting overlooking the Tyrrhenian coast.
  • D. Bartella
    Bartella is a historically Assyrian Christian town in northern Iraq’s Nineveh Governorate, known for its ancient churches and proximity to Mosul.
  • E. Zanetto
    Zanetto is a one-act opera by Italian composer Pietro Mascagni, known for its intimate, lyrical style and concise dramatic structure.
  • 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: Barbieri
Triple: [Gato Barbieri, familyName, Barbieri]
Generated description
Barbieri is a surname of Italian origin borne by various notable individuals across fields such as music, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barbieri
Target entity description: Barbieri is a surname of Italian origin borne by various notable individuals across fields such as music, sports, and the arts.
  • A. Barbato
    Barbato is an Italian surname associated with individuals of Italian heritage, including Nancy Barbato, the first wife of singer Frank Sinatra.
  • B. Bertinelli
    Bertinelli is an Italian-origin surname most prominently associated with American actress and television personality Valerie Bertinelli.
  • C. Scarlino
    Scarlino is a historic Tuscan town in central Italy, known for its medieval hilltop setting overlooking the Tyrrhenian coast.
  • D. Bartella
    Bartella is a historically Assyrian Christian town in northern Iraq’s Nineveh Governorate, known for its ancient churches and proximity to Mosul.
  • E. Zanetto
    Zanetto is a one-act opera by Italian composer Pietro Mascagni, known for its intimate, lyrical style and concise dramatic structure.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0783e88190aae3d461730c2d70 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7e0c7e4819098e690ffebbd8e61 completed April 18, 2026, 8:21 p.m.
NEDg Description generation batch_69e3f2cbb4708190a328cff473104d14 completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f497a01881909d1dae70a02e5f97 completed April 18, 2026, 9:16 p.m.
Created at: April 8, 2026, 9:27 p.m.