Triple

T1647861
Position Surface form Disambiguated ID Type / Status
Subject Hadoop E35621 entity
Predicate initiallyInspiredBy P6828 FINISHED
Object Google File System
Google File System is a distributed file system developed by Google to reliably store and process massive amounts of data across clusters of commodity hardware.
E185682 NE FINISHED

How this triple was built (5 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: Google File System | Statement: [Hadoop, initiallyInspiredBy, Google File System]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Google File System
Context triple: [Hadoop, initiallyInspiredBy, Google File System]
  • A. Hadoop
    Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
  • B. Google Borg system
    The Google Borg system is Google's large-scale internal cluster management and scheduling platform that inspired the design and architecture of Kubernetes.
  • C. Apache Mesos
    Apache Mesos is an open-source cluster manager that abstracts CPU, memory, storage, and other resources away from machines to enable efficient deployment and scaling of distributed applications and frameworks.
  • D. Google Cloud Dataproc
    Google Cloud Dataproc is a managed cloud service for running Apache Hadoop, Spark, and other big data workloads on scalable, automated clusters in Google Cloud.
  • E. Google Cloud Dataflow
    Google Cloud Dataflow is a fully managed service for developing and executing batch and streaming data processing pipelines, based on Apache Beam, within the Google Cloud ecosystem.
  • 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: Google File System
Triple: [Hadoop, initiallyInspiredBy, Google File System]
Generated description
Google File System is a distributed file system developed by Google to reliably store and process massive amounts of data across clusters of commodity hardware.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Google File System
Target entity description: Google File System is a distributed file system developed by Google to reliably store and process massive amounts of data across clusters of commodity hardware.
  • A. Hadoop
    Hadoop is an open-source framework that enables distributed storage and parallel processing of large data sets across clusters of commodity hardware.
  • B. Google Borg system
    The Google Borg system is Google's large-scale internal cluster management and scheduling platform that inspired the design and architecture of Kubernetes.
  • C. Apache Mesos
    Apache Mesos is an open-source cluster manager that abstracts CPU, memory, storage, and other resources away from machines to enable efficient deployment and scaling of distributed applications and frameworks.
  • D. Google Cloud Dataproc
    Google Cloud Dataproc is a managed cloud service for running Apache Hadoop, Spark, and other big data workloads on scalable, automated clusters in Google Cloud.
  • E. Google Cloud Dataflow
    Google Cloud Dataflow is a fully managed service for developing and executing batch and streaming data processing pipelines, based on Apache Beam, within the Google Cloud ecosystem.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: initiallyInspiredBy
Context triple: [Hadoop, initiallyInspiredBy, Google File System]
  • A. inspiredByBand
    Indicates that one entity (such as a work, style, or artist) was creatively influenced or motivated by a particular band.
  • B. inspiredAuthor
    Indicates that one entity served as a source of creative or intellectual inspiration for an author entity.
  • C. inspiredArtist
    Indicates that one artist has served as a source of creative influence or inspiration for another artist.
  • D. inspiredField
    Indicates that one entity served as a source of inspiration or influence for the development, direction, or characteristics of a particular field or domain.
  • E. inspiredDocument chosen
    Indicates that one entity (often a work, idea, or person) served as the creative or conceptual inspiration for the creation or content of another document.
  • F. None of above.

Provenance (6 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaa0fbe984819084f8daee81ca9b67 completed March 6, 2026, 9:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60a4bd5481908b46f44364c15592 completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad617fea508190ae6fa86cf9ea814a completed March 8, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69ad62028a448190a0c3f0dadae6a741 completed March 8, 2026, 11:48 a.m.
PD Predicate disambiguation batch_69a907ce4dd881909168a1e99505d4ec completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:29 p.m.