Triple

T7425089
Position Surface form Disambiguated ID Type / Status
Subject Danny Amendola E171347 entity
Predicate familyName P18 FINISHED
Object Amendola
Amendola is an Italian surname borne by various notable individuals, including athletes, artists, and public figures.
 E663321 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: Amendola | Statement: [Danny Amendola, familyName, Amendola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amendola
Context triple: [Danny Amendola, familyName, Amendola]
  • A. Aloysia
    Aloysia is a feminine given name, historically used in European contexts and closely related to the name Louise.
  • B. Panicale
    Panicale is a historic hilltop town and comune in central Italy’s Umbria region, known for its medieval architecture and views over Lake Trasimeno.
  • C. Macleaya
    Macleaya is a small genus of tall, herbaceous flowering plants known as plume poppies, cultivated for their ornamental foliage and feathery flower plumes.
  • D. Molinella
    Molinella is a municipality in the Emilia-Romagna region of northern Italy, situated in the lowlands northeast of the city of Bologna.
  • E. Maeonia
    Maeonia is an ancient name, often used in Greek sources, for the region later known as Lydia in western Anatolia.
  • 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: Amendola
Triple: [Danny Amendola, familyName, Amendola]
Generated description
Amendola is an Italian surname borne by various notable individuals, including athletes, artists, and public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amendola
Target entity description: Amendola is an Italian surname borne by various notable individuals, including athletes, artists, and public figures.
  • A. Aloysia
    Aloysia is a feminine given name, historically used in European contexts and closely related to the name Louise.
  • B. Panicale
    Panicale is a historic hilltop town and comune in central Italy’s Umbria region, known for its medieval architecture and views over Lake Trasimeno.
  • C. Macleaya
    Macleaya is a small genus of tall, herbaceous flowering plants known as plume poppies, cultivated for their ornamental foliage and feathery flower plumes.
  • D. Molinella
    Molinella is a municipality in the Emilia-Romagna region of northern Italy, situated in the lowlands northeast of the city of Bologna.
  • E. Maeonia
    Maeonia is an ancient name, often used in Greek sources, for the region later known as Lydia in western Anatolia.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f302b33481908eae877970f2bbdf completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f048e0c819080f51784e1099cac completed March 28, 2026, 6:33 p.m.
NEDg Description generation batch_69c81fd379cc81908b52c45fddea9870 completed March 28, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69c8209b7fa48190aea45a6b21ad8de1 completed March 28, 2026, 6:40 p.m.
Created at: March 27, 2026, 3:12 p.m.