Triple

T21022636
Position Surface form Disambiguated ID Type / Status
Subject Aby Warburg E517851 entity
Predicate nickname P55 FINISHED
Object Aby
Aby is the commonly used short form of the name Aby Warburg, the influential German art historian and cultural theorist.
 E1462234 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: Aby | Statement: [Aby Warburg, nickname, Aby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aby
Context triple: [Aby Warburg, nickname, Aby]
  • A. Abymien
    An Abymien is a resident or native of Les Abymes, a commune in Guadeloupe in the French Caribbean.
  • B. Abyar
    Abyar is a town in northeastern Libya situated within the fertile Jabal al Akhdar region.
  • C. Abyrx
    Abyrx is a medical technology company specializing in biomaterial-based surgical products designed to improve bone repair and hemostasis in operative procedures.
  • D. Anbay
    Anbay is an ancient South Arabian god associated with justice and oracles, venerated as a principal deity in the Qataban kingdom.
  • E. Abur
    Abur is the traditional name for the Old Permic alphabet, an early writing system used for the Komi language in the medieval Perm region of Russia.
  • 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: Aby
Triple: [Aby Warburg, nickname, Aby]
Generated description
Aby is the commonly used short form of the name Aby Warburg, the influential German art historian and cultural theorist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aby
Target entity description: Aby is the commonly used short form of the name Aby Warburg, the influential German art historian and cultural theorist.
  • A. Abymien
    An Abymien is a resident or native of Les Abymes, a commune in Guadeloupe in the French Caribbean.
  • B. Abyar
    Abyar is a town in northeastern Libya situated within the fertile Jabal al Akhdar region.
  • C. Abyrx
    Abyrx is a medical technology company specializing in biomaterial-based surgical products designed to improve bone repair and hemostasis in operative procedures.
  • D. Anbay
    Anbay is an ancient South Arabian god associated with justice and oracles, venerated as a principal deity in the Qataban kingdom.
  • E. Abur
    Abur is the traditional name for the Old Permic alphabet, an early writing system used for the Komi language in the medieval Perm region of Russia.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5e85d08190a67956a3dbe693de completed April 21, 2026, 4:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a093b68fd48819098ba4ba22a4f1cbd completed May 17, 2026, 3:52 a.m.
NEDg Description generation batch_6a093d26c38881908f8e5e0200411330 completed May 17, 2026, 3:59 a.m.
NED2 Entity disambiguation (via description) batch_6a093da7c214819099218effbfba8ac7 completed May 17, 2026, 4:01 a.m.
Created at: April 16, 2026, 1:55 p.m.