Triple

T9405959
Position Surface form Disambiguated ID Type / Status
Subject Gustaf Gründgens E226588 entity
Predicate familyName P18 FINISHED
Object Gründgens
Gründgens is a German surname most famously borne by the influential 20th-century actor and director Gustaf Gründgens.
 E797200 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: Gründgens | Statement: [Gustaf Gründgens, familyName, Gründgens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gründgens
Context triple: [Gustaf Gründgens, familyName, Gründgens]
  • A. Gnesen
    Gnesen is a historic town in western Poland, known as one of the country’s earliest political and religious centers.
  • B. Gerhardsen
    Gerhardsen is a notable Norwegian surname most prominently associated with influential 20th-century politicians and public figures in Norway.
  • C. Blomstedt
    Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
  • D. Sandvig
    Sandvig is a coastal village on the northern tip of the Danish island of Bornholm, known for its scenic rocky shoreline and role as part of the twin town Allinge-Sandvig.
  • E. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • 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: Gründgens
Triple: [Gustaf Gründgens, familyName, Gründgens]
Generated description
Gründgens is a German surname most famously borne by the influential 20th-century actor and director Gustaf Gründgens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gründgens
Target entity description: Gründgens is a German surname most famously borne by the influential 20th-century actor and director Gustaf Gründgens.
  • A. Gnesen
    Gnesen is a historic town in western Poland, known as one of the country’s earliest political and religious centers.
  • B. Gerhardsen
    Gerhardsen is a notable Norwegian surname most prominently associated with influential 20th-century politicians and public figures in Norway.
  • C. Blomstedt
    Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
  • D. Sandvig
    Sandvig is a coastal village on the northern tip of the Danish island of Bornholm, known for its scenic rocky shoreline and role as part of the twin town Allinge-Sandvig.
  • E. Gruden
    Gruden is a surname most prominently associated with Jon Gruden, a former NFL head coach and television analyst.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51c2b9bc81909a4ce91792294d1c completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1079bd644819081f9c8f25ff1c532 completed April 4, 2026, 12:44 p.m.
NEDg Description generation batch_69d1082f41b48190b8588bb986028f59 completed April 4, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_69d108bab8c881909748ffbb4b23f4ba completed April 4, 2026, 12:48 p.m.
Created at: March 30, 2026, 7:47 p.m.