Triple

T19823149
Position Surface form Disambiguated ID Type / Status
Subject Carlo Scarpa E476248 entity
Predicate familyName P18 FINISHED
Object Scarpa
Scarpa is an Italian surname most notably associated with the influential 20th-century architect and designer Carlo Scarpa.
 E1397485 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: Scarpa | Statement: [Carlo Scarpa, familyName, Scarpa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scarpa
Context triple: [Carlo Scarpa, familyName, Scarpa]
  • A. Giaco
    Giaco is the false identity adopted by Hubert Hawkins in the 1955 comedy film "The Court Jester."
  • B. Sparone
    Sparone is a small Italian municipality in the Piedmont region, situated in the mountainous Orco Valley of northwestern Italy.
  • C. Capezio
    Capezio is a renowned American manufacturer of dance shoes, apparel, and accessories widely used by dancers worldwide.
  • D. Lanieri
    Lanieri is the nickname of Italian football club LR Vicenza, traditionally associated with the textile industry of the Vicenza area.
  • E. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • 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: Scarpa
Triple: [Carlo Scarpa, familyName, Scarpa]
Generated description
Scarpa is an Italian surname most notably associated with the influential 20th-century architect and designer Carlo Scarpa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scarpa
Target entity description: Scarpa is an Italian surname most notably associated with the influential 20th-century architect and designer Carlo Scarpa.
  • A. Giaco
    Giaco is the false identity adopted by Hubert Hawkins in the 1955 comedy film "The Court Jester."
  • B. Sparone
    Sparone is a small Italian municipality in the Piedmont region, situated in the mountainous Orco Valley of northwestern Italy.
  • C. Capezio
    Capezio is a renowned American manufacturer of dance shoes, apparel, and accessories widely used by dancers worldwide.
  • D. Lanieri
    Lanieri is the nickname of Italian football club LR Vicenza, traditionally associated with the textile industry of the Vicenza area.
  • E. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6550070c4819099e1f057b9a8849e completed April 20, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccd22b448190b447c893ee9ffd83 completed May 16, 2026, 1:48 a.m.
NEDg Description generation batch_6a07cfe19c288190b360d1767e8fffa3 completed May 16, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_6a07d0c1cbc08190bffbc27457117b82 completed May 16, 2026, 2:04 a.m.
Created at: April 10, 2026, 1:50 p.m.