Triple

T15543063
Position Surface form Disambiguated ID Type / Status
Subject Petryk E370529 entity
Predicate diminutiveOf P456 FINISHED
Object Petro E75297 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: Petro | Statement: [Petryk, diminutiveOf, Petro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petro
Context triple: [Petryk, diminutiveOf, Petro]
  • A. Petro chosen
    Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
  • B. Petro lwa
    Petro lwa are a fiery, aggressive family of spirits in Haitian Vodou associated with power, protection, and revolutionary energy.
  • C. Petry
    Petry is a surname most notably associated with Ann Petry, an influential American novelist and short story writer known for exploring African American life and social issues.
  • D. Petrov
    Petrov is an alias or alternate name used by Peter P. Peters.
  • E. Petrovich
    Petrovich is a Russian patronymic meaning "son of Pyotr (Peter)," commonly used as a middle name in Russian naming conventions.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04432c3808190bb5b653bf8de30c6 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4558677881908704ac86c12e1fc4 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:07 a.m.