Triple

T6750270
Position Surface form Disambiguated ID Type / Status
Subject Weber E154323 entity
Predicate hasNotableBearer P458 FINISHED
Object Rolf Weber
Rolf Weber is a personal name shared by several individuals, most commonly found in German-speaking countries.
E653759 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: Rolf Weber | Statement: [Weber, hasNotableBearer, Rolf Weber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rolf Weber
Context triple: [Weber, hasNotableBearer, Rolf Weber]
  • A. Rolf Schrömgens
    Rolf Schrömgens is a German entrepreneur best known as a co-founder of the global hotel and accommodation search platform Trivago.
  • B. Herbert Hainer
    Herbert Hainer is a German businessman best known as the former long-time CEO of Adidas and current president of FC Bayern Munich.
  • C. Erwin Schoettle
    Erwin Schoettle was a German Social Democratic politician and resistance figure who became a prominent postwar Bundestag member and federal official.
  • D. Walter Jens
    Walter Jens was a prominent German philologist, writer, and literary critic known for his influential essays, radio plays, and public intellectual engagement in postwar Germany.
  • E. Hans Fitting
    Hans Fitting was a German mathematician known for his contributions to group theory and ring theory, including the concept of the Fitting subgroup.
  • 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: Rolf Weber
Triple: [Weber, hasNotableBearer, Rolf Weber]
Generated description
Rolf Weber is a personal name shared by several individuals, most commonly found in German-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rolf Weber
Target entity description: Rolf Weber is a personal name shared by several individuals, most commonly found in German-speaking countries.
  • A. Rolf Schrömgens
    Rolf Schrömgens is a German entrepreneur best known as a co-founder of the global hotel and accommodation search platform Trivago.
  • B. Herbert Hainer
    Herbert Hainer is a German businessman best known as the former long-time CEO of Adidas and current president of FC Bayern Munich.
  • C. Erwin Schoettle
    Erwin Schoettle was a German Social Democratic politician and resistance figure who became a prominent postwar Bundestag member and federal official.
  • D. Walter Jens
    Walter Jens was a prominent German philologist, writer, and literary critic known for his influential essays, radio plays, and public intellectual engagement in postwar Germany.
  • E. Hans Fitting
    Hans Fitting was a German mathematician known for his contributions to group theory and ring theory, including the concept of the Fitting subgroup.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1da32108190882949aa329d2b60 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7daf7529c8190b70ac11fb4c9ba32 completed March 28, 2026, 1:43 p.m.
NEDg Description generation batch_69c7dbc1ff0c8190bc7639a74a5d3af3 completed March 28, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc6873a081908ea4e953430ec20b completed March 28, 2026, 1:49 p.m.
Created at: March 27, 2026, 2:11 p.m.