Triple

T11467431
Position Surface form Disambiguated ID Type / Status
Subject Inge Scholl E271813 entity
Predicate givenName P17 FINISHED
Object Inge E515675 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: Inge | Statement: [Inge Scholl, givenName, Inge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inge
Context triple: [Inge Scholl, givenName, Inge]
  • A. Inge chosen
    Inge is a given name of Germanic origin used in various European countries for both males and females.
  • B. Inger
    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.
  • C. Ingo
    Ingo is a given name most notably associated with architect James Ingo Freed, designer of the United States Holocaust Memorial Museum.
  • D. Ingrid
    Ingrid is a feminine given name of Scandinavian origin that has been borne by several notable figures, including the Swedish actress Ingrid Bergman.
  • E. Ingeborg
    Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f74144819094479690c8151073 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e9429a308190810b485708d28617 completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:35 p.m.