Triple

T1229804
Position Surface form Disambiguated ID Type / Status
Subject Arne Næss E26410 entity
Predicate givenName P17 FINISHED
Object Arne
Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
 E148181 NE FINISHED

How this triple was built (4 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: Arne | Statement: [Arne Næss, givenName, Arne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arne
Context triple: [Arne Næss, givenName, Arne]
  • A. Svante
    Svante is the given name of Swedish geneticist Svante Pääbo, a Nobel Prize–winning pioneer in the field of paleogenomics.
  • B. Blomstedt
    Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
  • C. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • D. Nilsen
    Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
  • E. Isak
    Isak is a given name, commonly used in Scandinavian and other cultures, that corresponds to the biblical name Isaac.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arne
Triple: [Arne Næss, givenName, Arne]
Generated description
Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arne
Target entity description: Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
  • A. Svante
    Svante is the given name of Swedish geneticist Svante Pääbo, a Nobel Prize–winning pioneer in the field of paleogenomics.
  • B. Blomstedt
    Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
  • C. Morten
    Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
  • D. Nilsen
    Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
  • E. Isak
    Isak is a given name, commonly used in Scandinavian and other cultures, that corresponds to the biblical name Isaac.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be3dac2c8190914ff27173bb6b34 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacb1730c8190aeb60cad33f44597 completed March 7, 2026, 10:54 p.m.
NEDg Description generation batch_69acad4a7cd48190b295dbd1e5327a18 completed March 7, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69acadba2e54819088a04675493fcbbb completed March 7, 2026, 10:59 p.m.
Created at: March 1, 2026, 7:47 p.m.