Triple

T13926556
Position Surface form Disambiguated ID Type / Status
Subject Battistello Caracciolo E334874 entity
Predicate familyName P18 FINISHED
Object Caracciolo E734592 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: Caracciolo | Statement: [Battistello Caracciolo, familyName, Caracciolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caracciolo
Context triple: [Battistello Caracciolo, familyName, Caracciolo]
  • A. Caracciolo chosen
    Caracciolo is an Italian surname, notably borne by Canadian singer-songwriter Alessia Cara.
  • B. Stefano Magaddino
    Stefano Magaddino was a powerful mid-20th-century American Mafia boss who led the Buffalo crime family and sat on the national Mafia Commission.
  • C. Faicchio
    Faicchio is a small Italian town and municipality in the Campania region, known for its historic center and scenic location near the Matese mountains.
  • D. Salvatore Lucania
    Salvatore Lucania, better known as Lucky Luciano, was a pivotal Italian-American mobster who helped create the modern American Mafia and organized crime syndicate structure in the United States.
  • E. De Luca
    De Luca is an Italian surname borne by numerous notable individuals across fields such as film, politics, sports, and the arts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa7e9248190b0523415b9224e2f completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce80a3188190ac481b2de709d4f8 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.