Triple

T1696707
Position Surface form Disambiguated ID Type / Status
Subject Irena Komorowska E36673 entity
Predicate givenName P17 FINISHED
Object Irena E76766 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: Irena | Statement: [Irena Komorowska, givenName, Irena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irena
Context triple: [Irena Komorowska, givenName, Irena]
  • A. Irene chosen
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • B. Olga
    Olga is a female given name of Russian origin, historically borne by several notable figures including Russian grand duchesses and saints.
  • C. Valentina Olszewska
    Valentina Olszewska was the wife of mathematician Georg Cantor, the founder of set theory.
  • D. Iskra
    Iskra was an influential early 20th-century Marxist newspaper that served as a key organ for Russian revolutionary social democrats, including the Bolsheviks, in spreading socialist ideas and coordinating political activity.
  • E. Nadezhda
    Nadezhda is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and meaning "hope."
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b78d20819096f0602058c46d8a completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad799ad838819087e945f47284a3b0 completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:30 p.m.