Triple

T10445622
Position Surface form Disambiguated ID Type / Status
Subject Cloetta E246278 entity
Predicate brand P1500 FINISHED
Object The Jelly Bean Factory
The Jelly Bean Factory is a confectionery brand known for its gourmet jelly beans available in a wide variety of flavors.
E864263 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: The Jelly Bean Factory | Statement: [Cloetta, brand, The Jelly Bean Factory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Jelly Bean Factory
Context triple: [Cloetta, brand, The Jelly Bean Factory]
  • A. Candy Jar
    Candy Jar is a 2018 American teen romantic comedy film about two competitive high school debate rivals who must work together, starring Jacob Latimore among the main cast.
  • B. Shifty Jelly
    Shifty Jelly is an Australian app development studio best known for creating the popular podcast app Pocket Casts.
  • C. Jelly
    Jelly is a now-defunct Q&A and search app that let users get answers by sending questions, often with images, to a network of people.
  • D. Jelly's Last Jam
    Jelly's Last Jam is a Broadway musical that dramatizes the life and legacy of jazz pioneer Jelly Roll Morton through music, dance, and storytelling.
  • E. The Bubble Factory
    The Bubble Factory is an American film production company known for producing Hollywood movies in the 1990s and 2000s.
  • 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: The Jelly Bean Factory
Triple: [Cloetta, brand, The Jelly Bean Factory]
Generated description
The Jelly Bean Factory is a confectionery brand known for its gourmet jelly beans available in a wide variety of flavors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Jelly Bean Factory
Target entity description: The Jelly Bean Factory is a confectionery brand known for its gourmet jelly beans available in a wide variety of flavors.
  • A. Candy Jar
    Candy Jar is a 2018 American teen romantic comedy film about two competitive high school debate rivals who must work together, starring Jacob Latimore among the main cast.
  • B. Shifty Jelly
    Shifty Jelly is an Australian app development studio best known for creating the popular podcast app Pocket Casts.
  • C. Jelly
    Jelly is a now-defunct Q&A and search app that let users get answers by sending questions, often with images, to a network of people.
  • D. Jelly's Last Jam
    Jelly's Last Jam is a Broadway musical that dramatizes the life and legacy of jazz pioneer Jelly Roll Morton through music, dance, and storytelling.
  • E. The Bubble Factory
    The Bubble Factory is an American film production company known for producing Hollywood movies in the 1990s and 2000s.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbf81508190a160edea85105d3a completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87eeae8788190b63534fa4f942ead completed April 10, 2026, 4:39 a.m.
NEDg Description generation batch_69d886c3fdcc8190a67a7f7788b8a2e8 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dc15ab481909011c5de93bbab14 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:16 p.m.