Triple

T13375102
Position Surface form Disambiguated ID Type / Status
Subject Helga E319163 entity
Predicate relatedToName P3889 FINISHED
Object Helge
Helge is a given name, used in various European countries, that is closely related to the name Helga.
E1036563 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: Helge | Statement: [Helga, relatedToName, Helge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helge
Context triple: [Helga, relatedToName, Helge]
  • A. Halvard
    Halvard is a masculine given name of Scandinavian origin, particularly common in Norway.
  • B. Holger
    Holger is a masculine given name of Scandinavian origin, commonly used in countries such as Sweden and Denmark.
  • C. Torbjørn
    Torbjørn is a Scandinavian masculine given name, particularly common in Norway, derived from Old Norse elements meaning "Thor" and "bear."
  • D. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • E. Al Hansen
    Al Hansen was an American Fluxus artist and performance pioneer known for his experimental "Happenings" and collage works that challenged traditional boundaries between art and everyday life.
  • 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: Helge
Triple: [Helga, relatedToName, Helge]
Generated description
Helge is a given name, used in various European countries, that is closely related to the name Helga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Helge
Target entity description: Helge is a given name, used in various European countries, that is closely related to the name Helga.
  • A. Halvard
    Halvard is a masculine given name of Scandinavian origin, particularly common in Norway.
  • B. Holger
    Holger is a masculine given name of Scandinavian origin, commonly used in countries such as Sweden and Denmark.
  • C. Torbjørn
    Torbjørn is a Scandinavian masculine given name, particularly common in Norway, derived from Old Norse elements meaning "Thor" and "bear."
  • D. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • E. Al Hansen
    Al Hansen was an American Fluxus artist and performance pioneer known for his experimental "Happenings" and collage works that challenged traditional boundaries between art and everyday life.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcda64a48190b53243a763cd175b completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72684f3408190952d2619b6b8d241 completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f726f3f9cc8190a10f6a355a27b0fa completed May 3, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_69f7276b0f148190a0a6ec1b6637b6aa completed May 3, 2026, 10:46 a.m.
Created at: April 9, 2026, 9:33 p.m.