Triple

T21510334
Position Surface form Disambiguated ID Type / Status
Subject Giorgi E530700 entity
Predicate hasVariant P455 FINISHED
Object Di Giorgi
Di Giorgi is a variant form of the surname Giorgi, commonly found in Italian-speaking regions.
E1494464 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: Di Giorgi | Statement: [Giorgi, hasVariant, Di Giorgi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Di Giorgi
Context triple: [Giorgi, hasVariant, Di Giorgi]
  • A. Guido Quaroni
    Guido Quaroni is an Italian-born Pixar technical director and voice actor best known for voicing the character Guido in the animated film "Cars."
  • B. Enrico Rossi
    Enrico Rossi is an Italian politician best known for serving as President of the Tuscany region and for his long-standing involvement in left-wing politics.
  • C. Giulio Berruti
    Giulio Berruti is an Italian actor and former fashion model known for his roles in romantic comedies and drama films.
  • D. Livio Santini
    Livio Santini is an architect best known as a co-founder of the influential architecture firm Morphosis.
  • E. Lorenzo Bartolini
    Lorenzo Bartolini is a fictional character from the romantic drama film "Letters to Juliet," serving as the long-lost love whom the protagonists search for in 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: Di Giorgi
Triple: [Giorgi, hasVariant, Di Giorgi]
Generated description
Di Giorgi is a variant form of the surname Giorgi, commonly found in Italian-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Di Giorgi
Target entity description: Di Giorgi is a variant form of the surname Giorgi, commonly found in Italian-speaking regions.
  • A. Guido Quaroni
    Guido Quaroni is an Italian-born Pixar technical director and voice actor best known for voicing the character Guido in the animated film "Cars."
  • B. Enrico Rossi
    Enrico Rossi is an Italian politician best known for serving as President of the Tuscany region and for his long-standing involvement in left-wing politics.
  • C. Giulio Berruti
    Giulio Berruti is an Italian actor and former fashion model known for his roles in romantic comedies and drama films.
  • D. Livio Santini
    Livio Santini is an architect best known as a co-founder of the influential architecture firm Morphosis.
  • E. Lorenzo Bartolini
    Lorenzo Bartolini is a fictional character from the romantic drama film "Letters to Juliet," serving as the long-lost love whom the protagonists search for in 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 completed April 23, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0f80e8a481908eeac470f5b93d64 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a103e85208190b70626ed1d623547 completed May 17, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_6a0a10c8c5bc8190add0ee63eb338964 completed May 17, 2026, 7:02 p.m.
Created at: April 16, 2026, 6:25 p.m.