Triple

T9147406
Position Surface form Disambiguated ID Type / Status
Subject north-west Kent E219491 entity
Predicate containsTown P847 FINISHED
Object Bean
Bean is a small village and civil parish in the borough of Dartford in north-west Kent, England.
E781119 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: Bean | Statement: [north-west Kent, containsTown, Bean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bean
Context triple: [north-west Kent, containsTown, Bean]
  • 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. 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.
  • E. The Bean
    The Bean is a famous stainless steel public sculpture by artist Anish Kapoor located in Chicago’s Millennium Park, renowned for its highly polished, reflective surface and iconic, bean-like shape.
  • 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: Bean
Triple: [north-west Kent, containsTown, Bean]
Generated description
Bean is a small village and civil parish in the borough of Dartford in north-west Kent, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bean
Target entity description: Bean is a small village and civil parish in the borough of Dartford in north-west Kent, England.
  • A. 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.
  • B. Bean
    Bean is the famous jazz saxophonist Coleman Hawkins, a pioneering tenor sax player whose rich tone and improvisational style helped define early jazz.
  • C. Bean
    Bean is a common English surname of Old English origin, associated with various notable individuals including the actor Sean Bean.
  • D. 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.
  • E. The Bean
    The Bean is a famous stainless steel public sculpture by artist Anish Kapoor located in Chicago’s Millennium Park, renowned for its highly polished, reflective surface and iconic, bean-like shape.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca918a3c881909c34a6a682eb2625 completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0482995cc81909bfc202cbab7f8a1 completed April 3, 2026, 11:07 p.m.
NEDg Description generation batch_69d0496672a881909c1ac91a7ec1a2a1 completed April 3, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69d04a35451881909dfe6795b743b026 completed April 3, 2026, 11:16 p.m.
Created at: March 30, 2026, 7:20 p.m.