Triple

T11993265
Position Surface form Disambiguated ID Type / Status
Subject Blanke E285464 entity
Predicate hasNotableBearer P458 FINISHED
Object Peter Blanke
Peter Blanke is an individual notable enough to be specifically cited as a bearer of the surname Blanke.
E961732 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: Peter Blanke | Statement: [Blanke, hasNotableBearer, Peter Blanke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Blanke
Context triple: [Blanke, hasNotableBearer, Peter Blanke]
  • A. Stephen Bloom
    Stephen Bloom is a professional collaborator associated with the project or work titled "Bang Bang."
  • B. Peter Robbins
    Peter Robbins was an American child actor best known as the original voice of Charlie Brown in the early Peanuts animated television specials.
  • C. Peter Pilling
    Peter Pilling is a collegiate sports administrator best known for serving as the athletic director at Columbia University, overseeing the Columbia Lions athletic programs.
  • D. Peter Hoffman
    Peter Hoffman is a relatively common personal name shared by multiple individuals across various professions, including arts, academia, and business.
  • E. Peter Elkind
    Peter Elkind is an American investigative journalist and author best known for co-writing the exposé on the Enron scandal that became the basis for the documentary "Enron: The Smartest Guys in the Room."
  • 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: Peter Blanke
Triple: [Blanke, hasNotableBearer, Peter Blanke]
Generated description
Peter Blanke is an individual notable enough to be specifically cited as a bearer of the surname Blanke.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peter Blanke
Target entity description: Peter Blanke is an individual notable enough to be specifically cited as a bearer of the surname Blanke.
  • A. Stephen Bloom
    Stephen Bloom is a professional collaborator associated with the project or work titled "Bang Bang."
  • B. Peter Robbins
    Peter Robbins was an American child actor best known as the original voice of Charlie Brown in the early Peanuts animated television specials.
  • C. Peter Pilling
    Peter Pilling is a collegiate sports administrator best known for serving as the athletic director at Columbia University, overseeing the Columbia Lions athletic programs.
  • D. Peter Hoffman
    Peter Hoffman is a relatively common personal name shared by multiple individuals across various professions, including arts, academia, and business.
  • E. Peter Elkind
    Peter Elkind is an American investigative journalist and author best known for co-writing the exposé on the Enron scandal that became the basis for the documentary "Enron: The Smartest Guys in the Room."
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d183ee881908f1c0ca4562344a9 completed May 1, 2026, 12:31 p.m.
NEDg Description generation batch_69f53d8ec5448190b303624887f7fa05 completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564d2b4348190abf2d09ae00aea37 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:46 p.m.