Triple

T6665506
Position Surface form Disambiguated ID Type / Status
Subject Rushcliffe district E151590 entity
Predicate contains P35 FINISHED
Object Bunny
Bunny is a small village and civil parish in Nottinghamshire, England, known for its historic church and rural character.
E608981 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: Bunny | Statement: [Rushcliffe district, contains, Bunny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bunny
Context triple: [Rushcliffe district, contains, Bunny]
  • A. Bunny
    Bunny is a supporting character in the psychological thriller film "Don't Worry Darling," portrayed as a seemingly content housewife whose role becomes more complex as the story’s unsettling reality is revealed.
  • B. Bunny
    Bunny is an Oscar-winning animated short film by Blue Sky Studios, renowned for its emotional storytelling and pioneering use of computer-generated imagery.
  • C. Bunny
    "Bunny" is a 2005 Telugu-language romantic action film starring Allu Arjun, known for its energetic performances, catchy music, and mass appeal.
  • D. Bean Bunny
    Bean Bunny is a small, enthusiastic rabbit Muppet character known for his cute appearance and supporting roles in various Muppet productions.
  • E. John Bunny
    John Bunny was a pioneering American silent film comedian and one of the earliest screen stars, renowned for his work in early 1910s comedy shorts.
  • 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: Bunny
Triple: [Rushcliffe district, contains, Bunny]
Generated description
Bunny is a small village and civil parish in Nottinghamshire, England, known for its historic church and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bunny
Target entity description: Bunny is a small village and civil parish in Nottinghamshire, England, known for its historic church and rural character.
  • A. Bunny
    Bunny is a supporting character in the psychological thriller film "Don't Worry Darling," portrayed as a seemingly content housewife whose role becomes more complex as the story’s unsettling reality is revealed.
  • B. Bunny
    Bunny is an Oscar-winning animated short film by Blue Sky Studios, renowned for its emotional storytelling and pioneering use of computer-generated imagery.
  • C. Bunny
    "Bunny" is a 2005 Telugu-language romantic action film starring Allu Arjun, known for its energetic performances, catchy music, and mass appeal.
  • D. Bean Bunny
    Bean Bunny is a small, enthusiastic rabbit Muppet character known for his cute appearance and supporting roles in various Muppet productions.
  • E. John Bunny
    John Bunny was a pioneering American silent film comedian and one of the earliest screen stars, renowned for his work in early 1910s comedy shorts.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b09d97648190a254cabc0ffcb0dc completed March 27, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef0e33308190995fcccf50d134c1 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a3f0b481908dfe70d626277e8f completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f1a3995c8190b22766356b6e6bf8 completed March 27, 2026, 9:07 p.m.
Created at: March 27, 2026, 2:02 p.m.