Triple

T23231272
Position Surface form Disambiguated ID Type / Status
Subject Book One E581160 entity
Predicate introducesCharacter P12208 FINISHED
Object Inger 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: Inger | Statement: [Book One, introducesCharacter, Inger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inger
Context triple: [Book One, introducesCharacter, Inger]
  • A. Inger chosen
    Inger is a central female character in Knut Hamsun’s novel "Growth of the Soil," representing the hardships and moral complexities of rural Norwegian life.
  • B. Inger-Johanna
    Inger-Johanna is a central fictional daughter of the Gilje family in Jonas Lie’s novel "The Family at Gilje," representing the struggles and aspirations of women in 19th-century Norwegian society.
  • C. Ingeborg
    Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • D. Inge
    Inge is a given name of Germanic origin used in various European countries for both males and females.
  • E. Ingebrigt
    Ingebrigt is a Norwegian given name most notably borne by advertising executive, author, and football enthusiast Ingebrigt Steen Jensen.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f19231ef908190a791b4967916a66f completed April 29, 2026, 5:08 a.m.
Created at: April 17, 2026, 4:09 p.m.