Triple

T18221788
Position Surface form Disambiguated ID Type / Status
Subject Slim E436323 entity
Predicate canBeUsedWith P4791 FINISHED
Object Padrino NE NERFINISHED

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: Padrino | Statement: [Slim, canBeUsedWith, Padrino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Padrino
Context triple: [Slim, canBeUsedWith, Padrino]
  • A. Padrino chosen
    Padrino is a lightweight Ruby web framework built on Rack, designed for creating modular and scalable web applications.
  • B. Parenzo
    Parenzo is the Italian name for Poreč, a historic coastal town and popular tourist destination on the Istrian peninsula in Croatia.
  • C. Padre Padrone
    Padre Padrone is a 1977 Italian drama film by the Taviani brothers that portrays the harsh upbringing and personal liberation of a Sardinian shepherd boy.
  • D. Quai Papacino
    Quai Papacino is a waterfront quay in the Port of Nice on the French Riviera, known for its moored boats and proximity to the city’s historic center.
  • E. Mastrantonio
    Mastrantonio is the surname of American actress and singer Mary Elizabeth Mastrantonio, known for her roles in films such as "The Color of Money" and "The Abyss."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47c85108190bd9707b40bdfdb38 completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.