Triple

T11235619
Position Surface form Disambiguated ID Type / Status
Subject Ginger E265933 entity
Predicate associatedWith P37 FINISHED
Object Bunty
Bunty is a character from the animated film "Chicken Run," known as one of the hens in the flock alongside Ginger.
 E913141 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: Bunty | Statement: [Ginger, associatedWith, Bunty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bunty
Context triple: [Ginger, associatedWith, Bunty]
  • A. Babla
    Babla is an influential chutney music artist known for helping popularize the genre through his energetic, Indo-Caribbean–inspired recordings and performances.
  • B. Babla
    Babla is an individual known primarily as the spouse of Kanchan.
  • C. Tinkle
    Tinkle is a surname most prominently associated with Wayne Tinkle, an American college basketball coach and former player.
  • D. Munmun
    Munmun is a satirical young adult novel by Jesse Andrews that explores extreme economic inequality through a fantastical world where people’s physical size reflects their wealth.
  • E. Munna
    Munna is a 2007 Indian Telugu-language action drama film starring Prabhas as a college student seeking revenge against a powerful mafia leader.
  • 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: Bunty
Triple: [Ginger, associatedWith, Bunty]
Generated description
Bunty is a character from the animated film "Chicken Run," known as one of the hens in the flock alongside Ginger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bunty
Target entity description: Bunty is a character from the animated film "Chicken Run," known as one of the hens in the flock alongside Ginger.
  • A. Babla
    Babla is an influential chutney music artist known for helping popularize the genre through his energetic, Indo-Caribbean–inspired recordings and performances.
  • B. Babla
    Babla is an individual known primarily as the spouse of Kanchan.
  • C. Tinkle
    Tinkle is a surname most prominently associated with Wayne Tinkle, an American college basketball coach and former player.
  • D. Munmun
    Munmun is a satirical young adult novel by Jesse Andrews that explores extreme economic inequality through a fantastical world where people’s physical size reflects their wealth.
  • E. Munna
    Munna is a 2007 Indian Telugu-language action drama film starring Prabhas as a college student seeking revenge against a powerful mafia leader.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e904cf888190826fc964f76b5cb2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6308f8819085652d6c529ac821 completed April 19, 2026, 10:24 a.m.
NEDg Description generation batch_69e4b12dd658819085c25d3edac2d66c completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4b3e05b488190bf2e3810ba2f250e completed April 19, 2026, 10:52 a.m.
Created at: April 8, 2026, 9:30 p.m.