Triple

T27333019
Position Surface form Disambiguated ID Type / Status
Subject Paoli E689858 entity
Predicate hasNotableBearer P458 FINISHED
Object Fabrizio Paoli
Fabrizio Paoli is an individual notable enough to be recognized as a bearer of the surname Paoli, though specific widely known public achievements or roles are not clearly documented.
E2295639 NE FINISHED

How this triple was built (2 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: Fabrizio Paoli | Statement: [Paoli, hasNotableBearer, Fabrizio Paoli]
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: Fabrizio Paoli
Triple: [Paoli, hasNotableBearer, Fabrizio Paoli]
Generated description
Fabrizio Paoli is an individual notable enough to be recognized as a bearer of the surname Paoli, though specific widely known public achievements or roles are not clearly documented.

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_69ef355e5b388190a8fc1eba9b4a6656 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62acd191481908212829e834fc980 completed May 2, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a81d202c01881908c30597e6301019c completed Aug. 16, 2026, 3:06 p.m.
NEDg Description generation batch_6a81d270b8988190ad093c2d93455bf2 completed Aug. 16, 2026, 3:08 p.m.
NED2 Entity disambiguation (via description) batch_6a81d2c3d2d481909d24dbc31237080c completed Aug. 16, 2026, 3:09 p.m.
Created at: April 27, 2026, 11:39 a.m.