Triple

T18768207
Position Surface form Disambiguated ID Type / Status
Subject Sibert E458944 entity
Predicate spellingVariantOf P457 FINISHED
Object Siegbert (possible variant)
Siegbert is a Germanic given name, historically used in various forms across German-speaking regions and often associated with early medieval and noble figures.
 E1341915 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: Siegbert (possible variant) | Statement: [Sibert, spellingVariantOf, Siegbert (possible variant)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Siegbert (possible variant)
Context triple: [Sibert, spellingVariantOf, Siegbert (possible variant)]
  • A. Siegert
    Siegert is a German-language surname most notably associated with Johann Gottlieb Benjamin Siegert, the 19th-century creator of Angostura bitters.
  • B. Sieg
    The Sieg is a river in western Germany that flows through North Rhine-Westphalia and Rhineland-Palatinate before joining the Rhine.
  • C. Siegl
    Siegl is the surname of Zev Siegl, an American entrepreneur best known as one of the co-founders of Starbucks.
  • D. Seibert
    Seibert is a German-origin surname borne by various notable individuals across fields such as sports, science, and the arts.
  • E. Siebert
    Siebert is a surname most notably associated with Sonny Siebert, an American Major League Baseball pitcher active in the 1960s and 1970s.
  • 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: Siegbert (possible variant)
Triple: [Sibert, spellingVariantOf, Siegbert (possible variant)]
Generated description
Siegbert is a Germanic given name, historically used in various forms across German-speaking regions and often associated with early medieval and noble figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Siegbert (possible variant)
Target entity description: Siegbert is a Germanic given name, historically used in various forms across German-speaking regions and often associated with early medieval and noble figures.
  • A. Siegert
    Siegert is a German-language surname most notably associated with Johann Gottlieb Benjamin Siegert, the 19th-century creator of Angostura bitters.
  • B. Sieg
    The Sieg is a river in western Germany that flows through North Rhine-Westphalia and Rhineland-Palatinate before joining the Rhine.
  • C. Siegl
    Siegl is the surname of Zev Siegl, an American entrepreneur best known as one of the co-founders of Starbucks.
  • D. Seibert
    Seibert is a German-origin surname borne by various notable individuals across fields such as sports, science, and the arts.
  • E. Siebert
    Siebert is a surname most notably associated with Sonny Siebert, an American Major League Baseball pitcher active in the 1960s and 1970s.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d867264819098ae35c9feab3bb4 completed April 20, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d42a8cc8190b1f738ab62b3977b completed May 14, 2026, 3:10 a.m.
NEDg Description generation batch_6a0540f000788190a1e5c3dc04cdc2b9 completed May 14, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0541b4d92881908445f032e2196a62 completed May 14, 2026, 3:29 a.m.
Created at: April 10, 2026, 11:52 a.m.