Triple

T4452740
Position Surface form Disambiguated ID Type / Status
Subject Goodnight Irene E97650 entity
Predicate hasLyricCharacter P56603 FINISHED
Object Irene E76766 NE FINISHED

How this triple was built (3 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, hasLyricCharacter, Irene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene
Context triple: [Goodnight Irene, hasLyricCharacter, 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 the given name of Leni Riefenstahl, the controversial German filmmaker and actress known for her propaganda films during the Nazi era.
  • D. Helene
    Helene is a feminine given name of Greek origin, derived from Helen and associated with meanings like "light" or "torch."
  • 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.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLyricCharacter
Context triple: [Goodnight Irene, hasLyricCharacter, Irene]
  • A. hasLyric
    Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
  • B. hasExplicitLyrics
    Indicates that the referenced content contains explicit language or themes, such as profanity, sexual content, or strong violence.
  • C. hasLyricalStyle
    Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
  • D. hasVariableLyrics
    Indicates that the lyrics of a song or musical piece change between different performances, versions, or contexts.
  • E. hasOpeningLyric
    Indicates that one entity serves as the opening lyric of another entity, typically a song or musical work.
  • F. None of above. chosen

Provenance (5 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_69b6138ea77881908381e9ea8ad2b7fe completed March 15, 2026, 2:03 a.m.
PD Predicate disambiguation batch_69b34f649df081909d3cc2f6a1b8f282 completed March 12, 2026, 11:42 p.m.
PDg Predicate description generation batch_69b354e1f0948190b645096b2b7037af completed March 13, 2026, 12:05 a.m.
Created at: March 12, 2026, 11:33 p.m.