Triple

T12051030
Position Surface form Disambiguated ID Type / Status
Subject Province of Catania E286914 entity
Predicate contains P35 FINISHED
Object Vizzini E910779 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: Vizzini | Statement: [Province of Catania, contains, Vizzini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vizzini
Context triple: [Province of Catania, contains, Vizzini]
  • A. Vizzini
    Vizzini is a cunning but overconfident Sicilian criminal mastermind and kidnapper in the fantasy adventure film and novel "The Princess Bride."
  • B. Vizzini chosen
    Vizzini is a historic hill town in Sicily, Italy, known for its traditional architecture and its association with the writer Giovanni Verga.
  • C. Guino Rinaldo
    Guino Rinaldo is a key supporting gangster character in the 1932 crime film "Scarface," serving as the loyal friend and right-hand man to the protagonist Tony Camonte.
  • D. Quarazza
    Quarazza is a small hamlet in northern Italy associated with the alpine municipality of Macugnaga in the Piedmont region.
  • E. Mr. Boncassen
    Mr. Boncassen is a scholarly American gentleman in Anthony Trollope’s Palliser novels, known as the learned and socially unpretentious father of Isabel Boncassen.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dd140a48190844f64c228e6367a completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.