Triple

T8806403
Position Surface form Disambiguated ID Type / Status
Subject JBuilder E209542 entity
Predicate supportsFramework P9089 FINISHED
Object JavaBeans
JavaBeans is a reusable software component model for the Java platform that defines conventions for building modular, configurable Java classes, often used in visual development environments.
 E759384 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: JavaBeans | Statement: [JBuilder, supportsFramework, JavaBeans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JavaBeans
Context triple: [JBuilder, supportsFramework, JavaBeans]
  • A. Bean
    Bean is a common English surname of Old English origin, associated with various notable individuals including the actor Sean Bean.
  • B. Bean
    Bean is a 1997 British-American comedy film based on Rowan Atkinson’s Mr. Bean character, following his chaotic misadventures in the United States.
  • C. Bean
    Bean is the famous jazz saxophonist Coleman Hawkins, a pioneering tenor sax player whose rich tone and improvisational style helped define early jazz.
  • D. Java
    Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
  • E. Java
    Java is a widely used, object-oriented programming language known for its platform independence and extensive use in enterprise, web, and mobile application development.
  • 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: JavaBeans
Triple: [JBuilder, supportsFramework, JavaBeans]
Generated description
JavaBeans is a reusable software component model for the Java platform that defines conventions for building modular, configurable Java classes, often used in visual development environments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JavaBeans
Target entity description: JavaBeans is a reusable software component model for the Java platform that defines conventions for building modular, configurable Java classes, often used in visual development environments.
  • A. Bean
    Bean is a common English surname of Old English origin, associated with various notable individuals including the actor Sean Bean.
  • B. Bean
    Bean is a 1997 British-American comedy film based on Rowan Atkinson’s Mr. Bean character, following his chaotic misadventures in the United States.
  • C. Bean
    Bean is the famous jazz saxophonist Coleman Hawkins, a pioneering tenor sax player whose rich tone and improvisational style helped define early jazz.
  • D. Java
    Java is a large, densely populated island in Indonesia that has long served as the country’s political and economic center.
  • E. Java
    Java is a widely used, object-oriented programming language known for its platform independence and extensive use in enterprise, web, and mobile application development.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fd1f1a08190a2e584f6b0495f5c completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f96bb448190b9316ad55d61662a completed April 3, 2026, 7:43 a.m.
NEDg Description generation batch_69cf718a6f2c81908f8b8d08a1437749 completed April 3, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_69cf7275fea08190b8999fb30663ff17 completed April 3, 2026, 7:55 a.m.
Created at: March 30, 2026, 6:45 p.m.