Triple

T1963534
Position Surface form Disambiguated ID Type / Status
Subject Benedict E42638 entity
Predicate hasVariant P455 FINISHED
Object Bengt
Bengt is a Scandinavian given name, commonly used in Sweden, that derives from the name Benedict.
E218628 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: Bengt | Statement: [Benedict, hasVariant, Bengt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bengt
Context triple: [Benedict, hasVariant, Bengt]
  • A. Bäckström
    Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
  • B. Bommen Berend
    Bommen Berend is the Dutch nickname of the 17th-century Prince-Bishop of Münster, Bernhard von Galen, notorious for his heavy bombardments during the siege of Groningen in 1672.
  • C. Olof
    Olof is a Scandinavian male given name, particularly common in Sweden and Norway, derived from Old Norse and borne by various notable historical and cultural figures.
  • D. Ivar Tengbom
    Ivar Tengbom was a prominent Swedish architect known for his influential early 20th-century public buildings and contributions to Nordic classicism.
  • E. Claes
    Claes is a given name of Dutch origin, historically borne by early settlers such as Claes Maartenszen van Rosenvelt, an ancestor of the American Roosevelt family.
  • 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: Bengt
Triple: [Benedict, hasVariant, Bengt]
Generated description
Bengt is a Scandinavian given name, commonly used in Sweden, that derives from the name Benedict.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bengt
Target entity description: Bengt is a Scandinavian given name, commonly used in Sweden, that derives from the name Benedict.
  • A. Bäckström
    Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
  • B. Bommen Berend
    Bommen Berend is the Dutch nickname of the 17th-century Prince-Bishop of Münster, Bernhard von Galen, notorious for his heavy bombardments during the siege of Groningen in 1672.
  • C. Olof
    Olof is a Scandinavian male given name, particularly common in Sweden and Norway, derived from Old Norse and borne by various notable historical and cultural figures.
  • D. Ivar Tengbom
    Ivar Tengbom was a prominent Swedish architect known for his influential early 20th-century public buildings and contributions to Nordic classicism.
  • E. Claes
    Claes is a given name of Dutch origin, historically borne by early settlers such as Claes Maartenszen van Rosenvelt, an ancestor of the American Roosevelt family.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3ac31a08190abaecac8badc52c7 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd32eb88190a2069b6490b12e5d completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc5150e48190aa475798c790b767 completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfd10a6a88190818976d709d81596 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.