Triple

T4452755
Position Surface form Disambiguated ID Type / Status
Subject Goodnight Irene E97650 entity
Predicate hasTitleCharacter P5716 FINISHED
Object Irene 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: Irene | Statement: [Goodnight Irene, hasTitleCharacter, Irene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene
Context triple: [Goodnight Irene, hasTitleCharacter, Irene]
  • A. Irene chosen
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • B. Isidora
    Isidora is a feminine given name of Greek origin, commonly considered the female form of Isidore and meaning "gift of Isis."
  • C. Helene
    Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
  • D. Helene
    Helene is the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • E. Lucia
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f49dc081908727af81b886c08d completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6281cef58819095182f8c89fe6e59 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:33 p.m.