Triple

T12237153
Position Surface form Disambiguated ID Type / Status
Subject Brenda Vaccaro E291625 entity
Predicate familyName P18 FINISHED
Object Vaccaro
Vaccaro is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and business.
E970843 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: Vaccaro | Statement: [Brenda Vaccaro, familyName, Vaccaro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaccaro
Context triple: [Brenda Vaccaro, familyName, Vaccaro]
  • A. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • B. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • C. Vaccarèse
    Vaccarèse is a rare, traditional red wine grape variety from France’s Southern Rhône, valued for adding color, freshness, and aromatic complexity to blends.
  • D. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • E. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • 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: Vaccaro
Triple: [Brenda Vaccaro, familyName, Vaccaro]
Generated description
Vaccaro is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and business.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vaccaro
Target entity description: Vaccaro is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and business.
  • A. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • B. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • C. Vaccarèse
    Vaccarèse is a rare, traditional red wine grape variety from France’s Southern Rhône, valued for adding color, freshness, and aromatic complexity to blends.
  • D. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • E. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb2892c81909a97b3ad6ec2c21b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab19a4c8190b4692d7ab0d02a12 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60bdd8d508190813178ff4c77afcf completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60c67c680819087630d190d0a008f completed May 2, 2026, 2:38 p.m.
Created at: April 8, 2026, 9:51 p.m.