Triple

T2997665
Position Surface form Disambiguated ID Type / Status
Subject Helga Maria Schmid E81109 entity
Predicate givenName P17 FINISHED
Object Helga
Helga is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
 E319163 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: Helga | Statement: [Helga Maria Schmid, givenName, Helga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Helga
Context triple: [Helga Maria Schmid, givenName, Helga]
  • A. Baerbel
    Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
  • B. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • C. Astrid
    Astrid is a Belgian princess and member of the country’s royal family.
  • D. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • E. Dorothee
    Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
  • 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: Helga
Triple: [Helga Maria Schmid, givenName, Helga]
Generated description
Helga is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Helga
Target entity description: Helga is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • A. Baerbel
    Baerbel is a feminine given name of German origin, commonly used as an alternative spelling of Bärbel.
  • B. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • C. Astrid
    Astrid is a Belgian princess and member of the country’s royal family.
  • D. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • E. Dorothee
    Dorothee is a feminine given name, commonly used in German- and French-speaking countries, that is a variant of the name Dorothea.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f612148190a5a565ba2ecc4fc0 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e419e508190be23a2d413357058 completed March 11, 2026, 8:56 a.m.
NEDg Description generation batch_69b1326a2c088190b58fc0a35fe728ea completed March 11, 2026, 9:14 a.m.
NED2 Entity disambiguation (via description) batch_69b1d35cf53c81909738765bef09535b completed March 11, 2026, 8:41 p.m.
Created at: March 8, 2026, 2:59 p.m.