Triple

T10076292
Position Surface form Disambiguated ID Type / Status
Subject Audrey Bilger E213767 entity
Predicate familyName P18 FINISHED
Object Bilger
Bilger is a surname of likely Germanic origin borne by various individuals, including academic and literary figures.
 E839282 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: Bilger | Statement: [Audrey Bilger, familyName, Bilger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bilger
Context triple: [Audrey Bilger, familyName, Bilger]
  • A. Birs
    The Birs is a river in northwestern Switzerland that flows through the Jura region before joining the Rhine near Basel.
  • B. Bille
    The Bille is a small river in northern Germany that flows through the city of Hamburg and into the Elbe.
  • C. Ommen
    Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
  • D. Bilson
    Bilson is a surname shared by various notable individuals, including figures in entertainment, sports, and other public fields.
  • E. Svans
    Svans are a distinct subethnic group of Georgians known for their unique Svan language, highland culture, and traditional communities in the Svaneti region of the Caucasus.
  • 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: Bilger
Triple: [Audrey Bilger, familyName, Bilger]
Generated description
Bilger is a surname of likely Germanic origin borne by various individuals, including academic and literary figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bilger
Target entity description: Bilger is a surname of likely Germanic origin borne by various individuals, including academic and literary figures.
  • A. Birs
    The Birs is a river in northwestern Switzerland that flows through the Jura region before joining the Rhine near Basel.
  • B. Bille
    The Bille is a small river in northern Germany that flows through the city of Hamburg and into the Elbe.
  • C. Ommen
    Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
  • D. Bilson
    Bilson is a surname shared by various notable individuals, including figures in entertainment, sports, and other public fields.
  • E. Svans
    Svans are a distinct subethnic group of Georgians known for their unique Svan language, highland culture, and traditional communities in the Svaneti region of the Caucasus.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0190d808190847ea0fa401ef06c completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29ac67cb48190ba53a87c3749a245 completed April 5, 2026, 5:24 p.m.
NEDg Description generation batch_69d29c98e470819098bdf9fa51f40d1f completed April 5, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69d29d0190988190891c264556856f60 completed April 5, 2026, 5:33 p.m.
Created at: March 30, 2026, 8:59 p.m.