Triple

T21467577
Position Surface form Disambiguated ID Type / Status
Subject Ignorance E529630 entity
Predicate featuresCharacter P626 FINISHED
Object Irena 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: Irena | Statement: [Ignorance, featuresCharacter, Irena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irena
Context triple: [Ignorance, featuresCharacter, Irena]
  • A. Irena chosen
    Irena is the mysterious and troubled protagonist of the Italian psychological thriller film "La sconosciuta."
  • B. 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."
  • C. Irene
    Irene was a prominent Hollywood costume designer renowned for her elegant, sophisticated wardrobe creations in classic films.
  • D. Irene
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • E. 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.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f415d48190a2b0993a4f3c018f completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:14 p.m.