Triple

T8320866
Position Surface form Disambiguated ID Type / Status
Subject Gregor E194828 entity
Predicate hasVariant P455 FINISHED
Object Greger
Greger is a masculine given name, commonly 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: Greger | Statement: [Gregor, hasVariant, Greger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Greger
Context triple: [Gregor, hasVariant, Greger]
  • A. Gregers
    Gregers is a masculine given name, primarily used in Scandinavian countries, that is a variant of the name Gregor.
  • B. Gottfried
    Gottfried is the given name of Johann Gottfried Herder, an influential 18th-century German philosopher, theologian, and literary critic associated with the Sturm und Drang movement and early Romanticism.
  • C. Godfried
    Godfried is the given name of Belgian Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • D. Gerold
    Gerold is a masculine given name of Germanic origin, closely related to and often considered a variant of the name Gerald.
  • E. Gregory
    Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
  • 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: Greger
Triple: [Gregor, hasVariant, Greger]
Generated description
Greger is a masculine given name, commonly 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: Greger
Target entity description: Greger is a masculine given name, commonly used in Scandinavian countries, that is a variant of the name Gregor.
  • A. Gregers chosen
    Gregers is a masculine given name, primarily used in Scandinavian countries, that is a variant of the name Gregor.
  • B. Gottfried
    Gottfried is the given name of Johann Gottfried Herder, an influential 18th-century German philosopher, theologian, and literary critic associated with the Sturm und Drang movement and early Romanticism.
  • C. Godfried
    Godfried is the given name of Belgian Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • D. Gerold
    Gerold is a masculine given name of Germanic origin, closely related to and often considered a variant of the name Gerald.
  • E. Gregory
    Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
  • F. None of above.

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_69cdc6fee5dc8190b2de22d210884e51 completed April 2, 2026, 1:31 a.m.
NEDg Description generation batch_69cdcc8439cc8190b00ce9b0781d0544 completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdcdd1a0c08190aa15e665a38945e7 completed April 2, 2026, 2 a.m.
Created at: March 30, 2026, 5:55 p.m.