Triple

T6939229
Position Surface form Disambiguated ID Type / Status
Subject Laplace law of error E160629 entity
Predicate belongsTo P35 FINISHED
Object error theory
Error theory is a branch of statistics and philosophy that studies the nature, sources, and mathematical treatment of inaccuracies in measurement and inference.
E628630 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: error theory | Statement: [Laplace law of error, belongsTo, error theory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: error theory
Context triple: [Laplace law of error, belongsTo, error theory]
  • A. Error
    Error is the fundamental built-in exception type in JavaScript used to represent runtime errors and serve as the base class for more specialized error types.
  • B. Margin for Error
    "Margin for Error" is a 1939 satirical play by Clare Boothe Luce that blends comedy and political commentary around a murder mystery involving a Nazi consul in New York.
  • C. Gaussian law of error
    The Gaussian law of error is a fundamental statistical principle stating that measurement errors tend to follow a normal (bell-shaped) distribution, forming the basis of much of probability theory and statistical inference.
  • D. Knowledge and Error
    "Knowledge and Error" is a philosophical work by Ernst Mach that examines the nature, limits, and development of human knowledge through the lens of empirical science and psychology.
  • E. Laplace law of error
    The Laplace law of error is a probability distribution characterized by a sharp peak at the mean and heavier tails than the normal distribution, historically used to model the magnitude of observational errors.
  • 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: error theory
Triple: [Laplace law of error, belongsTo, error theory]
Generated description
Error theory is a branch of statistics and philosophy that studies the nature, sources, and mathematical treatment of inaccuracies in measurement and inference.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: error theory
Target entity description: Error theory is a branch of statistics and philosophy that studies the nature, sources, and mathematical treatment of inaccuracies in measurement and inference.
  • A. Error
    Error is the fundamental built-in exception type in JavaScript used to represent runtime errors and serve as the base class for more specialized error types.
  • B. Margin for Error
    "Margin for Error" is a 1939 satirical play by Clare Boothe Luce that blends comedy and political commentary around a murder mystery involving a Nazi consul in New York.
  • C. Gaussian law of error
    The Gaussian law of error is a fundamental statistical principle stating that measurement errors tend to follow a normal (bell-shaped) distribution, forming the basis of much of probability theory and statistical inference.
  • D. Knowledge and Error
    "Knowledge and Error" is a philosophical work by Ernst Mach that examines the nature, limits, and development of human knowledge through the lens of empirical science and psychology.
  • E. Laplace law of error
    The Laplace law of error is a probability distribution characterized by a sharp peak at the mean and heavier tails than the normal distribution, historically used to model the magnitude of observational errors.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da62d2f88190968d3fea538a95c9 completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515880948190970cadd7adeda435 completed March 28, 2026, 3:56 a.m.
NEDg Description generation batch_69c7524e3ef48190a78601ca290f133d completed March 28, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_69c752dca6e08190a087898d99c015ac completed March 28, 2026, 4:02 a.m.
Created at: March 27, 2026, 2:28 p.m.