Triple

T8872809
Position Surface form Disambiguated ID Type / Status
Subject Cornelia Seibeld E211202 entity
Predicate familyName P18 FINISHED
Object Seibeld
Seibeld is a German surname most notably borne by politician Cornelia Seibeld.
 E763149 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: Seibeld | Statement: [Cornelia Seibeld, familyName, Seibeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seibeld
Context triple: [Cornelia Seibeld, familyName, Seibeld]
  • A. Seelenberg
    Seelenberg is a small village that forms one of the local subdivisions of the municipality of Schmitten in Germany.
  • B. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Bielke
    Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
  • D. Belsand
    Belsand is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local administrative and market center for surrounding rural areas.
  • E. Torbeshi
    Torbeshi are a Slavic-speaking Muslim ethnic group primarily living in North Macedonia and neighboring Balkan regions.
  • 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: Seibeld
Triple: [Cornelia Seibeld, familyName, Seibeld]
Generated description
Seibeld is a German surname most notably borne by politician Cornelia Seibeld.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Seibeld
Target entity description: Seibeld is a German surname most notably borne by politician Cornelia Seibeld.
  • A. Seelenberg
    Seelenberg is a small village that forms one of the local subdivisions of the municipality of Schmitten in Germany.
  • B. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Bielke
    Bielke is the surname of a notable Swedish noble family historically associated with prominent political and military figures.
  • D. Belsand
    Belsand is a small town in the Sitamarhi district of the Indian state of Bihar, known primarily as a local administrative and market center for surrounding rural areas.
  • E. Torbeshi
    Torbeshi are a Slavic-speaking Muslim ethnic group primarily living in North Macedonia and neighboring Balkan regions.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc612952348190856d6964122c3f01 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0f1f1888190a5b514b895e44799 completed April 3, 2026, 11:13 a.m.
NEDg Description generation batch_69cfa1ee350881909355371d824ebe3d completed April 3, 2026, 11:18 a.m.
NED2 Entity disambiguation (via description) batch_69cfa26ab1b881909e42a435f4e3333c completed April 3, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:52 p.m.