Triple

T10498287
Position Surface form Disambiguated ID Type / Status
Subject James J. Tedesco III E247599 entity
Predicate familyName P18 FINISHED
Object Tedesco
Tedesco is an Italian-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
 E867226 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: Tedesco | Statement: [James J. Tedesco III, familyName, Tedesco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tedesco
Context triple: [James J. Tedesco III, familyName, Tedesco]
  • A. Germano
    Germano is a masculine given name and surname of Romance-language origin, cognate with the French name Germain.
  • B. Deutch
    Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
  • C. German
    German is a West Germanic language widely spoken in Central Europe and used as an official language in several countries, including Germany, Austria, Switzerland, and Luxembourg.
  • D. German
    German refers to a person belonging to the ethnic group native to Germany, typically associated with the German language and culture.
  • E. Milanese
    Milanese is a Western Lombard dialect spoken primarily in and around the city of Milan in 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: Tedesco
Triple: [James J. Tedesco III, familyName, Tedesco]
Generated description
Tedesco is an Italian-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tedesco
Target entity description: Tedesco is an Italian-origin surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • A. Germano
    Germano is a masculine given name and surname of Romance-language origin, cognate with the French name Germain.
  • B. Deutch
    Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
  • C. German
    German is a West Germanic language widely spoken in Central Europe and used as an official language in several countries, including Germany, Austria, Switzerland, and Luxembourg.
  • D. German
    German refers to a person belonging to the ethnic group native to Germany, typically associated with the German language and culture.
  • E. Milanese
    Milanese is a Western Lombard dialect spoken primarily in and around the city of Milan in 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098d8ac481909c4adedbc4ad1c03 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcc5816c8190a6a3927797942266 completed April 10, 2026, 11:19 a.m.
NEDg Description generation batch_69d8e8c9d5cc8190a425ed834855bbcd completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901fecee88190999e88ca2e56a516 completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:25 p.m.