Triple

T12483347
Position Surface form Disambiguated ID Type / Status
Subject Amintore Fanfani E298369 entity
Predicate familyName P18 FINISHED
Object Fanfani
Fanfani is an Italian surname most notably associated with Amintore Fanfani, a prominent 20th-century Italian politician and multiple-time Prime Minister.
 E985688 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: Fanfani | Statement: [Amintore Fanfani, familyName, Fanfani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fanfani
Context triple: [Amintore Fanfani, familyName, Fanfani]
  • A. Guicciardi
    Guicciardi is the noble Italian family name of Countess Giulietta Guicciardi, best known as a dedicatee of Beethoven’s “Moonlight” Sonata.
  • B. Fioravanti
    Fioravanti is an Italian surname historically associated with notable figures in architecture, engineering, and the arts.
  • C. Mazzoli
    Mazzoli is an Italian surname associated with various notable individuals, including politicians and artists.
  • D. Giglioli
    Giglioli was a zoologist and taxonomist known for formally describing species such as the Chatham Island taiko.
  • E. Fuselli
    Fuselli is a central fictional character in the World War I novel "Active Service" by Stephen Crane, representing the experiences and attitudes of an ordinary soldier.
  • 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: Fanfani
Triple: [Amintore Fanfani, familyName, Fanfani]
Generated description
Fanfani is an Italian surname most notably associated with Amintore Fanfani, a prominent 20th-century Italian politician and multiple-time Prime Minister.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fanfani
Target entity description: Fanfani is an Italian surname most notably associated with Amintore Fanfani, a prominent 20th-century Italian politician and multiple-time Prime Minister.
  • A. Guicciardi
    Guicciardi is the noble Italian family name of Countess Giulietta Guicciardi, best known as a dedicatee of Beethoven’s “Moonlight” Sonata.
  • B. Fioravanti
    Fioravanti is an Italian surname historically associated with notable figures in architecture, engineering, and the arts.
  • C. Mazzoli
    Mazzoli is an Italian surname associated with various notable individuals, including politicians and artists.
  • D. Giglioli
    Giglioli was a zoologist and taxonomist known for formally describing species such as the Chatham Island taiko.
  • E. Fuselli
    Fuselli is a central fictional character in the World War I novel "Active Service" by Stephen Crane, representing the experiences and attitudes of an ordinary soldier.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcef6548190a6d29375bdabd17d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f29307c8190b024d889d45ba9f7 completed May 2, 2026, 6:15 p.m.
NEDg Description generation batch_69f6437e88c881909b7f1d55c11b0825 completed May 2, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69f644464c0c8190a8d4ea4914d32e7f completed May 2, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:56 p.m.