Triple

T8813299
Position Surface form Disambiguated ID Type / Status
Subject Vigna E209716 entity
Predicate namedAfter P63 FINISHED
Object Domenico Vigna
Domenico Vigna is an Italian individual after whom another entity named Vigna is eponymously named.
E911065 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: Domenico Vigna | Statement: [Vigna, namedAfter, Domenico Vigna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Domenico Vigna
Context triple: [Vigna, namedAfter, Domenico Vigna]
  • A. Francesco Gonella
    Francesco Gonella was an Italian mountaineer after whom the high-altitude Rifugio Francesco Gonella in the Mont Blanc massif is named.
  • B. Gaetano Russo
    Gaetano Russo was an Italian sculptor best known for creating prominent public monuments in the late 19th and early 20th centuries.
  • C. Francesco Giorgi
    Francesco Giorgi was a 16th-century Venetian Franciscan friar, philosopher, and mystic known for integrating Christian theology with Kabbalistic and Neoplatonic thought in his influential work "De harmonia mundi."
  • D. Guido Carlesi
    Guido Carlesi is an Italian former professional road cyclist known for his strong stage race performances in the early 1960s.
  • E. Giuseppe Capotondi
    Giuseppe Capotondi is an Italian film and music video director known for his stylish visual work across European cinema and popular music.
  • 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: Domenico Vigna
Triple: [Vigna, namedAfter, Domenico Vigna]
Generated description
Domenico Vigna is an Italian individual after whom another entity named Vigna is eponymously named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Domenico Vigna
Target entity description: Domenico Vigna is an Italian individual after whom another entity named Vigna is eponymously named.
  • A. Francesco Gonella
    Francesco Gonella was an Italian mountaineer after whom the high-altitude Rifugio Francesco Gonella in the Mont Blanc massif is named.
  • B. Gaetano Russo
    Gaetano Russo was an Italian sculptor best known for creating prominent public monuments in the late 19th and early 20th centuries.
  • C. Francesco Giorgi
    Francesco Giorgi was a 16th-century Venetian Franciscan friar, philosopher, and mystic known for integrating Christian theology with Kabbalistic and Neoplatonic thought in his influential work "De harmonia mundi."
  • D. Guido Carlesi
    Guido Carlesi is an Italian former professional road cyclist known for his strong stage race performances in the early 1960s.
  • E. Giuseppe Capotondi
    Giuseppe Capotondi is an Italian film and music video director known for his stylish visual work across European cinema and popular music.
  • 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_69ca8363f3308190a47e3f1ebd51f613 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ff02e9c819080a8e45ba9ca044e completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4963545f481909ecc360480b1fc37 completed April 19, 2026, 8:45 a.m.
NEDg Description generation batch_69e49a97db808190aa22d6a103a13e58 completed April 19, 2026, 9:04 a.m.
NED2 Entity disambiguation (via description) batch_69e49d71e81c8190af73931ed30e04be completed April 19, 2026, 9:16 a.m.
Created at: March 30, 2026, 6:45 p.m.