Triple

T8703217
Position Surface form Disambiguated ID Type / Status
Subject Signe Hammarsten-Jansson E206583 entity
Predicate givenName P17 FINISHED
Object Signe
Signe is a Scandinavian female given name of Old Norse origin, traditionally associated with meanings like "new victory" or "blessed."
E751400 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: Signe | Statement: [Signe Hammarsten-Jansson, givenName, Signe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Signe
Context triple: [Signe Hammarsten-Jansson, givenName, Signe]
  • A. Astrid
    Astrid is a Belgian princess and member of the country’s royal family.
  • B. Maddalene
    Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
  • C. Maren
    Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
  • D. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • E. Martin Solveig
    Martin Solveig is a French DJ, producer, and songwriter known for his catchy electronic dance music hits and international club anthems.
  • 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: Signe
Triple: [Signe Hammarsten-Jansson, givenName, Signe]
Generated description
Signe is a Scandinavian female given name of Old Norse origin, traditionally associated with meanings like "new victory" or "blessed."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Signe
Target entity description: Signe is a Scandinavian female given name of Old Norse origin, traditionally associated with meanings like "new victory" or "blessed."
  • A. Astrid
    Astrid is a Belgian princess and member of the country’s royal family.
  • B. Maddalene
    Maddalene is a feminine given name, typically considered a variant of Maddalena or Magdalene, with roots in Christian and European naming traditions.
  • C. Maren
    Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
  • D. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • E. Martin Solveig
    Martin Solveig is a French DJ, producer, and songwriter known for his catchy electronic dance music hits and international club anthems.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58b5b44081909e7b33c70fac236d completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef41e3ec08190b29adf483cdf8cc3 completed April 2, 2026, 10:56 p.m.
NEDg Description generation batch_69cef68b33948190a259870e320da5e5 completed April 2, 2026, 11:06 p.m.
NED2 Entity disambiguation (via description) batch_69cef6fb42e48190b09d49d3a2fee4ae completed April 2, 2026, 11:08 p.m.
Created at: March 30, 2026, 6:34 p.m.