Triple

T9427785
Position Surface form Disambiguated ID Type / Status
Subject Guðmundsdóttir E227298 entity
Predicate derivedFrom P909 FINISHED
Object Guðmundur
Guðmundur is an Icelandic male given name of Old Norse origin, traditionally common in Iceland and other Nordic countries.
E808240 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: Guðmundur | Statement: [Guðmundsdóttir, derivedFrom, Guðmundur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guðmundur
Context triple: [Guðmundsdóttir, derivedFrom, Guðmundur]
  • A. Þórsteinn
    Þórsteinn is an Old Norse masculine given name, traditionally borne in Iceland and other Nordic countries and associated with Viking Age heritage.
  • B. Guðjónsson
    Guðjónsson is an Icelandic surname historically borne by notable figures, including the Nobel Prize–winning writer Halldór Laxness.
  • C. Munan Erlendsson
    Munan Erlendsson is a minor character in Sigrid Undset’s medieval Norwegian novel cycle "Kristin Lavransdatter," appearing as one of the children in Kristin’s extended family.
  • D. Halldór
    Halldór is an Icelandic given name most famously borne by Nobel Prize–winning author Halldór Laxness.
  • E. Jón
    Jón is an Icelandic given name, equivalent to the English name John and widely used in Icelandic-speaking communities.
  • 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: Guðmundur
Triple: [Guðmundsdóttir, derivedFrom, Guðmundur]
Generated description
Guðmundur is an Icelandic male given name of Old Norse origin, traditionally common in Iceland and other Nordic countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guðmundur
Target entity description: Guðmundur is an Icelandic male given name of Old Norse origin, traditionally common in Iceland and other Nordic countries.
  • A. Þórsteinn
    Þórsteinn is an Old Norse masculine given name, traditionally borne in Iceland and other Nordic countries and associated with Viking Age heritage.
  • B. Guðjónsson
    Guðjónsson is an Icelandic surname historically borne by notable figures, including the Nobel Prize–winning writer Halldór Laxness.
  • C. Munan Erlendsson
    Munan Erlendsson is a minor character in Sigrid Undset’s medieval Norwegian novel cycle "Kristin Lavransdatter," appearing as one of the children in Kristin’s extended family.
  • D. Halldór
    Halldór is an Icelandic given name most famously borne by Nobel Prize–winning author Halldór Laxness.
  • E. Jón
    Jón is an Icelandic given name, equivalent to the English name John and widely used in Icelandic-speaking communities.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c91ba1c8190b8331fb1ba58cc61 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1611c908c8190aea6768e5659c3ca completed April 4, 2026, 7:06 p.m.
NEDg Description generation batch_69d161c432b08190ba848159cc26a00c completed April 4, 2026, 7:08 p.m.
NED2 Entity disambiguation (via description) batch_69d162fc597081909a57f842e41b1ad4 completed April 4, 2026, 7:14 p.m.
Created at: March 30, 2026, 7:49 p.m.