Triple

T10748071
Position Surface form Disambiguated ID Type / Status
Subject Ejnar Hertzsprung E253502 entity
Predicate givenName P17 FINISHED
Object Ejnar E235039 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: Ejnar | Statement: [Ejnar Hertzsprung, givenName, Ejnar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ejnar
Context triple: [Ejnar Hertzsprung, givenName, Ejnar]
  • A. Borge
    Borge is a district and former municipality that is now part of the city of Fredrikstad in southeastern Norway.
  • B. Einar chosen
    Einar is a masculine given name of Norse origin commonly used in Scandinavian countries.
  • C. Nicolai Gädda
    Nicolai Gädda is a renowned Swedish operatic tenor celebrated for his exceptional vocal technique, linguistic versatility, and extensive international recording and performance career in the mid-20th century.
  • D. Jørgen
    Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
  • E. Gunnbjørn Fjeldt
    Gunnbjørn Fjeldt is the highest mountain in Greenland and the entire Arctic, located in the Watkins Range of eastern Greenland.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b9242c81908dbf3fa155159b3c completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55a12b8c8190bbeeb6d176f42b49 completed April 14, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:15 p.m.