Triple

T16712727
Position Surface form Disambiguated ID Type / Status
Subject Andreas Schleicher E406147 entity
Predicate familyName P18 FINISHED
Object Schleicher
Schleicher is a German surname borne by various notable figures in fields such as politics, linguistics, and education.
E1229547 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: Schleicher | Statement: [Andreas Schleicher, familyName, Schleicher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schleicher
Context triple: [Andreas Schleicher, familyName, Schleicher]
  • A. Fieseler
    Fieseler was a German aircraft manufacturer best known for producing innovative World War II aircraft, including the V-1 flying bomb.
  • B. Bücker Flugzeugbau
    Bücker Flugzeugbau was a German aircraft manufacturer best known for producing light training and sport biplanes in the 1930s and 1940s.
  • C. Udet
    Udet is the surname most famously associated with Ernst Udet, a renowned German World War I flying ace and later Luftwaffe officer.
  • D. Fieseler Fi 156 Storch
    The Fieseler Fi 156 Storch was a German World War II liaison and reconnaissance aircraft renowned for its exceptional short takeoff and landing (STOL) capabilities.
  • E. Junkers
    Junkers was a pioneering German aircraft manufacturer renowned for producing innovative military and civilian airplanes, particularly during the early to mid-20th century.
  • 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: Schleicher
Triple: [Andreas Schleicher, familyName, Schleicher]
Generated description
Schleicher is a German surname borne by various notable figures in fields such as politics, linguistics, and education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schleicher
Target entity description: Schleicher is a German surname borne by various notable figures in fields such as politics, linguistics, and education.
  • A. Fieseler
    Fieseler was a German aircraft manufacturer best known for producing innovative World War II aircraft, including the V-1 flying bomb.
  • B. Bücker Flugzeugbau
    Bücker Flugzeugbau was a German aircraft manufacturer best known for producing light training and sport biplanes in the 1930s and 1940s.
  • C. Udet
    Udet is the surname most famously associated with Ernst Udet, a renowned German World War I flying ace and later Luftwaffe officer.
  • D. Fieseler Fi 156 Storch
    The Fieseler Fi 156 Storch was a German World War II liaison and reconnaissance aircraft renowned for its exceptional short takeoff and landing (STOL) capabilities.
  • E. Junkers
    Junkers was a pioneering German aircraft manufacturer renowned for producing innovative military and civilian airplanes, particularly during the early to mid-20th century.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e386530d9c8190b91ec3aac7dc2518 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a95180819099abd50dd153e229 completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00925fda608190b3674bd5e9ca6bf5 completed May 10, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_6a00939075d88190a63cdd942eb3fea8 completed May 10, 2026, 2:17 p.m.
Created at: April 10, 2026, 5:20 a.m.