Triple

T21137540
Position Surface form Disambiguated ID Type / Status
Subject Aron Nimzowitsch E520850 entity
Predicate notableWork P4 FINISHED
Object My System
My System is a highly influential chess book by Aron Nimzowitsch that systematically presents the principles of positional and hypermodern play.
E1468435 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: My System | Statement: [Aron Nimzowitsch, notableWork, My System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My System
Context triple: [Aron Nimzowitsch, notableWork, My System]
  • A. The System
    "The System" is a 1953 American crime film noir starring Frank Lovejoy as a crusading newspaper columnist battling corruption.
  • B. System
    System is a core .NET namespace that provides fundamental classes and base types essential for building .NET applications.
  • C. Sistema
    Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
  • D. the System
    The System is Konstantin Stanislavski’s influential acting methodology that emphasizes psychological realism, emotional truth, and detailed character preparation.
  • E. System1
    System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
  • 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: My System
Triple: [Aron Nimzowitsch, notableWork, My System]
Generated description
My System is a highly influential chess book by Aron Nimzowitsch that systematically presents the principles of positional and hypermodern play.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: My System
Target entity description: My System is a highly influential chess book by Aron Nimzowitsch that systematically presents the principles of positional and hypermodern play.
  • A. The System
    "The System" is a 1953 American crime film noir starring Frank Lovejoy as a crusading newspaper columnist battling corruption.
  • B. System
    System is a core .NET namespace that provides fundamental classes and base types essential for building .NET applications.
  • C. Sistema
    Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
  • D. the System
    The System is Konstantin Stanislavski’s influential acting methodology that emphasizes psychological realism, emotional truth, and detailed character preparation.
  • E. System1
    System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235b89188190a6209c0a1839ee03 completed April 21, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965f556d881909652d21a62b10874 completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a0966f894d48190b6841c35a9aab417 completed May 17, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_6a096adfd4248190a26c513278e7b334 completed May 17, 2026, 7:14 a.m.
Created at: April 16, 2026, 2:57 p.m.