Triple

T14393627
Position Surface form Disambiguated ID Type / Status
Subject Gregory Piatetsky-Shapiro E356903 entity
Predicate knownFor P22 FINISHED
Object KDnuggets
KDnuggets is a prominent online platform and newsletter focused on data science, machine learning, and analytics news, tutorials, and resources.
E1096530 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: KDnuggets | Statement: [Gregory Piatetsky-Shapiro, knownFor, KDnuggets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KDnuggets
Context triple: [Gregory Piatetsky-Shapiro, knownFor, KDnuggets]
  • A. KDD
    KDD is the commonly used abbreviation for Norway’s Ministry of Local Government and Regional Development, a government body responsible for municipal affairs, regional policy, and housing.
  • B. SIGKDD
    SIGKDD is the ACM Special Interest Group on Knowledge Discovery and Data Mining, best known for its flagship KDD conference and contributions to data mining and machine learning research.
  • C. JMLR
    JMLR (Journal of Machine Learning Research) is a leading peer-reviewed academic journal focusing on cutting-edge research in machine learning and related fields.
  • D. ACM Transactions on Knowledge Discovery from Data
    ACM Transactions on Knowledge Discovery from Data is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data mining, knowledge discovery, and related areas of data science and machine learning.
  • E. The Future of Data Analysis
    "The Future of Data Analysis" is a seminal 1962 paper by statistician John W. Tukey that helped define and popularize exploratory data analysis and reshaped modern statistical practice.
  • 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: KDnuggets
Triple: [Gregory Piatetsky-Shapiro, knownFor, KDnuggets]
Generated description
KDnuggets is a prominent online platform and newsletter focused on data science, machine learning, and analytics news, tutorials, and resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KDnuggets
Target entity description: KDnuggets is a prominent online platform and newsletter focused on data science, machine learning, and analytics news, tutorials, and resources.
  • A. KDD
    KDD is the commonly used abbreviation for Norway’s Ministry of Local Government and Regional Development, a government body responsible for municipal affairs, regional policy, and housing.
  • B. SIGKDD
    SIGKDD is the ACM Special Interest Group on Knowledge Discovery and Data Mining, best known for its flagship KDD conference and contributions to data mining and machine learning research.
  • C. JMLR
    JMLR (Journal of Machine Learning Research) is a leading peer-reviewed academic journal focusing on cutting-edge research in machine learning and related fields.
  • D. ACM Transactions on Knowledge Discovery from Data
    ACM Transactions on Knowledge Discovery from Data is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in data mining, knowledge discovery, and related areas of data science and machine learning.
  • E. The Future of Data Analysis
    "The Future of Data Analysis" is a seminal 1962 paper by statistician John W. Tukey that helped define and popularize exploratory data analysis and reshaped modern statistical practice.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902d114881908a8f3c01b3c6d309 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551b006c8190b84449f2e2b59b62 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd55d90ed08190b6a0184715f39ff4 completed May 8, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_69fd565d32fc8190acc1e733537a23cb completed May 8, 2026, 3:19 a.m.
Created at: April 10, 2026, 1:16 a.m.