Triple

T10792056
Position Surface form Disambiguated ID Type / Status
Subject Kåre Hedebrant E254604 entity
Predicate givenName P17 FINISHED
Object Kåre
Kåre is a Scandinavian male given name, commonly used in countries such as Sweden and Norway.
E887945 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: Kåre | Statement: [Kåre Hedebrant, givenName, Kåre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kåre
Context triple: [Kåre Hedebrant, givenName, Kåre]
  • A. Halvard
    Halvard is a masculine given name of Scandinavian origin, particularly common in Norway.
  • B. Erlend Nikulaussøn
    Erlend Nikulaussøn is a central character in Sigrid Undset’s medieval Norwegian novel cycle "Kristin Lavransdatter," known as Kristin’s passionate but irresponsible lover and later husband.
  • C. Karlssen
    Karlssen is a Scandinavian-origin surname, likely a patronymic variant related to the more common name Carlson.
  • D. Pål
    Pål is a Scandinavian given name, commonly used as a Norwegian variant of the name Paul.
  • E. Arvid Fladmoe
    Arvid Fladmoe was a Norwegian conductor and composer known for his leadership roles with major orchestras in Norway, including the Oslo Philharmonic.
  • 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: Kåre
Triple: [Kåre Hedebrant, givenName, Kåre]
Generated description
Kåre is a Scandinavian male given name, commonly used in countries such as Sweden and Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kåre
Target entity description: Kåre is a Scandinavian male given name, commonly used in countries such as Sweden and Norway.
  • A. Halvard
    Halvard is a masculine given name of Scandinavian origin, particularly common in Norway.
  • B. Erlend Nikulaussøn
    Erlend Nikulaussøn is a central character in Sigrid Undset’s medieval Norwegian novel cycle "Kristin Lavransdatter," known as Kristin’s passionate but irresponsible lover and later husband.
  • C. Karlssen
    Karlssen is a Scandinavian-origin surname, likely a patronymic variant related to the more common name Carlson.
  • D. Pål
    Pål is a Scandinavian given name, commonly used as a Norwegian variant of the name Paul.
  • E. Arvid Fladmoe
    Arvid Fladmoe was a Norwegian conductor and composer known for his leadership roles with major orchestras in Norway, including the Oslo Philharmonic.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f6dfcc81909096895c588ef46f completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84f1fdfc8190a31a13ae434e56c1 completed April 14, 2026, 6:18 p.m.
NEDg Description generation batch_69de8e6f3fac8190bcd1675978d6d6d7 completed April 14, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69de8fa679cc81909cb51035e5403ce9 completed April 14, 2026, 7:04 p.m.
Created at: April 8, 2026, 9:17 p.m.