Triple

T10014126
Position Surface form Disambiguated ID Type / Status
Subject Bernhard Schlink E199444 entity
Predicate familyName P18 FINISHED
Object Schlink
Schlink is a German surname most notably associated with Bernhard Schlink, the jurist and author of the novel "The Reader."
 E836218 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: Schlink | Statement: [Bernhard Schlink, familyName, Schlink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schlink
Context triple: [Bernhard Schlink, familyName, Schlink]
  • A. Eich
    Eich is the surname of Brendan Eich, the American technologist best known as the creator of the JavaScript programming language and co-founder of Mozilla.
  • B. Eich
    Eich is a small Swiss municipality in the canton of Lucerne, situated near Lake Sempach and known for its scenic lakeside setting.
  • C. Dinkelscherben
    Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
  • D. Fleischbrücke
    Fleischbrücke is a historic stone arch bridge in Nuremberg, Germany, renowned for its Renaissance architecture and role as a key crossing in the city center.
  • E. Schiffhauer
    Schiffhauer is a surname, likely a variant of the German family name "Schiff."
  • 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: Schlink
Triple: [Bernhard Schlink, familyName, Schlink]
Generated description
Schlink is a German surname most notably associated with Bernhard Schlink, the jurist and author of the novel "The Reader."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Schlink
Target entity description: Schlink is a German surname most notably associated with Bernhard Schlink, the jurist and author of the novel "The Reader."
  • A. Eich
    Eich is the surname of Brendan Eich, the American technologist best known as the creator of the JavaScript programming language and co-founder of Mozilla.
  • B. Eich
    Eich is a small Swiss municipality in the canton of Lucerne, situated near Lake Sempach and known for its scenic lakeside setting.
  • C. Dinkelscherben
    Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
  • D. Fleischbrücke
    Fleischbrücke is a historic stone arch bridge in Nuremberg, Germany, renowned for its Renaissance architecture and role as a key crossing in the city center.
  • E. Schiffhauer
    Schiffhauer is a surname, likely a variant of the German family name "Schiff."
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd49b19c8190b429e3533d072648 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a8f6f3081909310e28725d31f7e completed April 5, 2026, 1:58 p.m.
NEDg Description generation batch_69d26b84271881909c3a1b8a05e2c8a2 completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26f50dc008190866f0ba45b671560 completed April 5, 2026, 2:18 p.m.
Created at: March 30, 2026, 8:52 p.m.