Triple

T2595016
Position Surface form Disambiguated ID Type / Status
Subject Ludwig E58207 entity
Predicate hasDiminutive P456 FINISHED
Object Wiggi
Wiggi is a diminutive nickname commonly used in German for the given name Ludwig.
 E281738 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: Wiggi | Statement: [Ludwig, hasDiminutive, Wiggi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wiggi
Context triple: [Ludwig, hasDiminutive, Wiggi]
  • A. Liddy
    Liddy is a surname most notably associated with G. Gordon Liddy, the former FBI agent and key figure in the Watergate scandal.
  • B. Wardie
    Wardie is a coastal residential area in the northern part of Edinburgh, Scotland, known for its proximity to the Firth of Forth and its traditional stone housing.
  • C. Houbie
    Houbie is the main village on the Shetland island of Fetlar in Scotland.
  • D. Mrs. Wix
    Mrs. Wix is a morally rigid, impoverished governess who serves as a key guardian and moral counterpoint in Henry James’s novel "What Maisie Knew."
  • E. Woensel
    Woensel is a large residential district in the northern part of the Dutch city of Eindhoven, known for its diverse population and extensive post-war housing.
  • 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: Wiggi
Triple: [Ludwig, hasDiminutive, Wiggi]
Generated description
Wiggi is a diminutive nickname commonly used in German for the given name Ludwig.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wiggi
Target entity description: Wiggi is a diminutive nickname commonly used in German for the given name Ludwig.
  • A. Liddy
    Liddy is a surname most notably associated with G. Gordon Liddy, the former FBI agent and key figure in the Watergate scandal.
  • B. Wardie
    Wardie is a coastal residential area in the northern part of Edinburgh, Scotland, known for its proximity to the Firth of Forth and its traditional stone housing.
  • C. Houbie
    Houbie is the main village on the Shetland island of Fetlar in Scotland.
  • D. Mrs. Wix
    Mrs. Wix is a morally rigid, impoverished governess who serves as a key guardian and moral counterpoint in Henry James’s novel "What Maisie Knew."
  • E. Woensel
    Woensel is a large residential district in the northern part of the Dutch city of Eindhoven, known for its diverse population and extensive post-war housing.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd42978f881909f217e7ec9ac3144 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83c3607c81908bb4aceca46c5392 completed March 10, 2026, 2:36 a.m.
NEDg Description generation batch_69af84a08ffc8190b113d07f3d322d0c completed March 10, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69af85a052448190898ee1a2f8368122 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:49 p.m.