Triple

T17434980
Position Surface form Disambiguated ID Type / Status
Subject The Last Don E423977 entity
Predicate mainCharacter P1183 FINISHED
Object Don Domenico Clericuzio
Don Domenico Clericuzio is the powerful and calculating patriarch of an Italian-American Mafia family at the center of Mario Puzo’s crime novel "The Last Don."
E1664979 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: Don Domenico Clericuzio | Statement: [The Last Don, mainCharacter, Don Domenico Clericuzio]
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: Don Domenico Clericuzio
Triple: [The Last Don, mainCharacter, Don Domenico Clericuzio]
Generated description
Don Domenico Clericuzio is the powerful and calculating patriarch of an Italian-American Mafia family at the center of Mario Puzo’s crime novel "The Last Don."

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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4490361c081908fd24f9a812f212c completed April 19, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105ca65e148190bb1d912f60c172f6 completed May 22, 2026, 1:39 p.m.
NEDg Description generation batch_6a105daad81481909d399aba96a1176c completed May 22, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_6a105e3d647881909b04575cd240d468 completed May 22, 2026, 1:46 p.m.
Created at: April 10, 2026, 5:46 a.m.