Triple

T8320865
Position Surface form Disambiguated ID Type / Status
Subject Gregor E194828 entity
Predicate hasVariant P455 FINISHED
Object Gregers
Gregers is a masculine given name, primarily used in Scandinavian countries, that is a variant of the name Gregor.
 E725875 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: Gregers | Statement: [Gregor, hasVariant, Gregers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gregers
Context triple: [Gregor, hasVariant, Gregers]
  • A. Giaever
    Giaever is a Norwegian surname most notably associated with physicist and Nobel laureate Ivar Giaever.
  • B. Gerold
    Gerold is a masculine given name of Germanic origin, closely related to and often considered a variant of the name Gerald.
  • C. Holger
    Holger is a masculine given name of Scandinavian origin, commonly used in countries such as Sweden and Denmark.
  • D. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • E. Ingvar
    Ingvar is a Scandinavian given name of Old Norse origin, historically associated with Viking-age figures and meaning roughly "Ing’s warrior" or "warrior of the god Ing."
  • 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: Gregers
Triple: [Gregor, hasVariant, Gregers]
Generated description
Gregers is a masculine given name, primarily used in Scandinavian countries, that is a variant of the name Gregor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gregers
Target entity description: Gregers is a masculine given name, primarily used in Scandinavian countries, that is a variant of the name Gregor.
  • A. Giaever
    Giaever is a Norwegian surname most notably associated with physicist and Nobel laureate Ivar Giaever.
  • B. Gerold
    Gerold is a masculine given name of Germanic origin, closely related to and often considered a variant of the name Gerald.
  • C. Holger
    Holger is a masculine given name of Scandinavian origin, commonly used in countries such as Sweden and Denmark.
  • D. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • E. Ingvar
    Ingvar is a Scandinavian given name of Old Norse origin, historically associated with Viking-age figures and meaning roughly "Ing’s warrior" or "warrior of the god Ing."
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f67aee88190b245f8d6e57a40b2 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95a058948190b056d9b0f0607933 completed April 1, 2026, 10:01 p.m.
NEDg Description generation batch_69cdab5f30b0819080136084d81774a9 completed April 1, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69cdb2d365e48190a766ca959ce56b19 completed April 2, 2026, 12:05 a.m.
Created at: March 30, 2026, 5:55 p.m.