Triple

T15403835
Position Surface form Disambiguated ID Type / Status
Subject Alanna Ubach E368396 entity
Predicate familyName P18 FINISHED
Object Ubach
Ubach is a surname most notably associated with American actress Alanna Ubach, known for her work in film, television, and voice acting.
E1155299 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: Ubach | Statement: [Alanna Ubach, familyName, Ubach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ubach
Context triple: [Alanna Ubach, familyName, Ubach]
  • A. Aabach
    Aabach is a river in Switzerland that serves as a primary tributary feeding into Lake Hallwil.
  • B. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • C. Aidenbach
    Aidenbach is a small Bavarian municipality in southeastern Germany known for its rural character and historical roots in the Lower Bavaria region.
  • D. Ebrach
    Ebrach is a river in Bavaria, Germany, known as a tributary of the Regnitz.
  • E. Vechigen
    Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
  • 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: Ubach
Triple: [Alanna Ubach, familyName, Ubach]
Generated description
Ubach is a surname most notably associated with American actress Alanna Ubach, known for her work in film, television, and voice acting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ubach
Target entity description: Ubach is a surname most notably associated with American actress Alanna Ubach, known for her work in film, television, and voice acting.
  • A. Aabach
    Aabach is a river in Switzerland that serves as a primary tributary feeding into Lake Hallwil.
  • B. Luterbach
    Luterbach is a municipality in the canton of Solothurn in northwestern Switzerland, known for its residential character and proximity to the Aare River.
  • C. Aidenbach
    Aidenbach is a small Bavarian municipality in southeastern Germany known for its rural character and historical roots in the Lower Bavaria region.
  • D. Ebrach
    Ebrach is a river in Bavaria, Germany, known as a tributary of the Regnitz.
  • E. Vechigen
    Vechigen is a rural municipality in the canton of Bern, Switzerland, known for its scattered settlements and agricultural landscape near the city of Bern.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8fde64819082ec0c68df305561 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13584f8881908b2527c51f85ae28 completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff145ac8e081908b075cee67e82aa3 completed May 9, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69ff1509e5a48190b69f1a44d793e07d completed May 9, 2026, 11:05 a.m.
Created at: April 10, 2026, 3:19 a.m.