Triple

T10919169
Position Surface form Disambiguated ID Type / Status
Subject Gunnel Fred E257899 entity
Predicate givenName P17 FINISHED
Object Gunnel
Gunnel is a Scandinavian feminine given name, particularly common in Sweden.
 E893837 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: Gunnel | Statement: [Gunnel Fred, givenName, Gunnel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gunnel
Context triple: [Gunnel Fred, givenName, Gunnel]
  • A. Ylva
    Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
  • B. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • C. Maddalene
    Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
  • D. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • E. Kattrin
    Kattrin is a central, mute character in Bertolt Brecht’s play "Mother Courage and Her Children," known for her selfless bravery and tragic sacrifice during the Thirty Years' War.
  • 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: Gunnel
Triple: [Gunnel Fred, givenName, Gunnel]
Generated description
Gunnel is a Scandinavian feminine given name, particularly common in Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gunnel
Target entity description: Gunnel is a Scandinavian feminine given name, particularly common in Sweden.
  • A. Ylva
    Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
  • B. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • C. Maddalene
    Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
  • D. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • E. Kattrin
    Kattrin is a central, mute character in Bertolt Brecht’s play "Mother Courage and Her Children," known for her selfless bravery and tragic sacrifice during the Thirty Years' War.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77080317881909fc50ac3576cefa8 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2171adbbc8190916a5463b6e5c186 completed April 17, 2026, 11:18 a.m.
NEDg Description generation batch_69e21d8a2e6881909b33cbe4ab919315 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eaa1e9881909f3b276e0ff0c511 completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:22 p.m.