Triple

T15003933
Position Surface form Disambiguated ID Type / Status
Subject Eirene E377659 entity
Predicate isCognateWith P2527 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: [Eirene, isCognateWith, Irena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irena
Context triple: [Eirene, isCognateWith, Irena]
  • A. Irena Dubrovna
    Irena Dubrovna is the troubled, feline-obsessed Serbian woman whose fear of transforming into a panther drives the psychological horror at the center of the 1942 film "Cat People."
  • B. Irene chosen
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • C. Irene
    Irene is a small, historically significant village and suburb located just outside Pretoria in South Africa, known for its tranquil, tree-lined streets and dairy farm heritage.
  • D. Zhanna
    Zhanna is a feminine given name commonly used in Russian and other Slavic cultures, equivalent to Jeanne or Joanna.
  • E. Antonina
    Antonina was a prominent Byzantine noblewoman and influential wife of the famed general Belisarius, noted for her political acumen and close association with Empress Theodora in the 6th century.
  • 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_69d85cd3a3c881908c71fc424d459c17 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7312ae48190bdaf91ecced6657e completed April 15, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69fec87725348190a0da7555b62adbdc completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 2:54 a.m.