Triple

T4705983
Position Surface form Disambiguated ID Type / Status
Subject Andreas Gursky E104389 entity
Predicate familyName P18 FINISHED
Object Gursky
Gursky is the surname of Andreas Gursky, a renowned German photographer celebrated for his large-scale, detailed images of contemporary life and architecture.
E463734 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: Gursky | Statement: [Andreas Gursky, familyName, Gursky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gursky
Context triple: [Andreas Gursky, familyName, Gursky]
  • A. Orlovsky
    Orlovsky is a surname most notably associated with Peter Orlovsky, the American poet and longtime partner of Beat Generation writer Allen Ginsberg.
  • B. Alexander Gorsky
    Alexander Gorsky was a Russian ballet master and choreographer known for revitalizing classical ballets with more naturalistic staging and dramatic realism in the late 19th and early 20th centuries.
  • C. Wassily
    Wassily is a masculine given name most famously borne by the pioneering abstract painter Wassily Kandinsky.
  • D. Ossip
    Ossip is a masculine given name of Slavic origin, notably borne by pianist and conductor Ossip Gabrilowitsch.
  • E. Brodinski
    Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
  • 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: Gursky
Triple: [Andreas Gursky, familyName, Gursky]
Generated description
Gursky is the surname of Andreas Gursky, a renowned German photographer celebrated for his large-scale, detailed images of contemporary life and architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gursky
Target entity description: Gursky is the surname of Andreas Gursky, a renowned German photographer celebrated for his large-scale, detailed images of contemporary life and architecture.
  • A. Orlovsky
    Orlovsky is a surname most notably associated with Peter Orlovsky, the American poet and longtime partner of Beat Generation writer Allen Ginsberg.
  • B. Alexander Gorsky
    Alexander Gorsky was a Russian ballet master and choreographer known for revitalizing classical ballets with more naturalistic staging and dramatic realism in the late 19th and early 20th centuries.
  • C. Wassily
    Wassily is a masculine given name most famously borne by the pioneering abstract painter Wassily Kandinsky.
  • D. Ossip
    Ossip is a masculine given name of Slavic origin, notably borne by pianist and conductor Ossip Gabrilowitsch.
  • E. Brodinski
    Brodinski is a French DJ and electronic music producer known for his dark, techno-influenced sound and role in shaping the modern French electronic and club scene.
  • 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_69bd43eac3c08190af7e4020c6c3704c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63e808c88190877e98408498fb62 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1067c6a081909fa06689ea66a8a4 completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be133c5a8c8190b3c0f066c4ab44a9 completed March 21, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_69be13cafd1c8190aec0efe6328c25b8 completed March 21, 2026, 3:43 a.m.
Created at: March 20, 2026, 1:17 p.m.