Triple

T16095533
Position Surface form Disambiguated ID Type / Status
Subject Knudsen E390473 entity
Predicate derivedFromGivenName P17 FINISHED
Object Knud
Knud is a Scandinavian male given name of Old Norse origin, commonly associated with historical Danish kings and later used as the basis for surnames like Knudsen.
 E1193918 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: Knud | Statement: [Knudsen, derivedFromGivenName, Knud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Knud
Context triple: [Knudsen, derivedFromGivenName, Knud]
  • A. Knute
    Knute is the given name of Knute Rockne, the legendary early 20th-century American football coach at the University of Notre Dame.
  • B. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • C. Søren
    Søren is a masculine given name of Scandinavian origin, most famously borne by the Danish philosopher Søren Kierkegaard.
  • D. Torbjørn
    Torbjørn is a Scandinavian masculine given name, particularly common in Norway, derived from Old Norse elements meaning "Thor" and "bear."
  • E. Bjørn
    Bjørn is a Scandinavian male given name, commonly used in Norway and Denmark and meaning "bear."
  • 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: Knud
Triple: [Knudsen, derivedFromGivenName, Knud]
Generated description
Knud is a Scandinavian male given name of Old Norse origin, commonly associated with historical Danish kings and later used as the basis for surnames like Knudsen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Knud
Target entity description: Knud is a Scandinavian male given name of Old Norse origin, commonly associated with historical Danish kings and later used as the basis for surnames like Knudsen.
  • A. Knute
    Knute is the given name of Knute Rockne, the legendary early 20th-century American football coach at the University of Notre Dame.
  • B. Henrik
    Henrik is the given name of the renowned Norwegian mathematician Niels Henrik Abel, known for his pioneering work in algebra and analysis.
  • C. Søren
    Søren is a masculine given name of Scandinavian origin, most famously borne by the Danish philosopher Søren Kierkegaard.
  • D. Torbjørn
    Torbjørn is a Scandinavian masculine given name, particularly common in Norway, derived from Old Norse elements meaning "Thor" and "bear."
  • E. Bjørn
    Bjørn is a Scandinavian male given name, commonly used in Norway and Denmark and meaning "bear."
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1859283008190baac96142b5c7e53 completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb991ba88190ad568a49069f9701 completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffec4898088190bed531e33418c7e5 completed May 10, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffecce96508190a53f100e3207ebac completed May 10, 2026, 2:26 a.m.
Created at: April 10, 2026, 4:59 a.m.