Triple

T5078190
Position Surface form Disambiguated ID Type / Status
Subject Ruth Etting E114449 entity
Predicate familyName P18 FINISHED
Object Etting
Etting is a surname most notably associated with American singer and actress Ruth Etting, a popular entertainer of the 1920s and 1930s.
 E491716 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: Etting | Statement: [Ruth Etting, familyName, Etting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Etting
Context triple: [Ruth Etting, familyName, Etting]
  • A. Ittigen
    Ittigen is a municipality in the canton of Bern in Switzerland that functions largely as a suburban community within the greater Bern urban region.
  • B. Itter
    The Itter is a river in southwestern Germany that flows through the Odenwald region and serves as a tributary of the Neckar.
  • C. Eschen
    Eschen is a municipality in northern Liechtenstein known for its residential character and role as one of the country’s larger population centers.
  • D. Endenich
    Endenich is a district of Bonn, Germany, historically known as the place where composer Robert Schumann spent his final years and died in a mental asylum.
  • E. Idstein
    Idstein is a historic town in the German state of Hesse, known for its well-preserved medieval old town and timber-framed architecture.
  • 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: Etting
Triple: [Ruth Etting, familyName, Etting]
Generated description
Etting is a surname most notably associated with American singer and actress Ruth Etting, a popular entertainer of the 1920s and 1930s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Etting
Target entity description: Etting is a surname most notably associated with American singer and actress Ruth Etting, a popular entertainer of the 1920s and 1930s.
  • A. Ittigen
    Ittigen is a municipality in the canton of Bern in Switzerland that functions largely as a suburban community within the greater Bern urban region.
  • B. Itter
    The Itter is a river in southwestern Germany that flows through the Odenwald region and serves as a tributary of the Neckar.
  • C. Eschen
    Eschen is a municipality in northern Liechtenstein known for its residential character and role as one of the country’s larger population centers.
  • D. Endenich
    Endenich is a district of Bonn, Germany, historically known as the place where composer Robert Schumann spent his final years and died in a mental asylum.
  • E. Idstein
    Idstein is a historic town in the German state of Hesse, known for its well-preserved medieval old town and timber-framed architecture.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74f632788190ac4fd047e1a20485 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb12bd7288190b66ac606aebcabca completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb19325fc8190b768b8bd27eb0d7c completed March 21, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_69beb23f789c8190811ee9e43327196c completed March 21, 2026, 2:59 p.m.
Created at: March 20, 2026, 1:39 p.m.