Triple

T5362033
Position Surface form Disambiguated ID Type / Status
Subject The Amazing World of Gumball E103043 entity
Predicate featuresCharacter P626 FINISHED
Object Bobert
Bobert is a robotic student character from the animated television series "The Amazing World of Gumball," known for his literal, emotionless personality and advanced technological abilities.
E514656 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: Bobert | Statement: [The Amazing World of Gumball, featuresCharacter, Bobert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bobert
Context triple: [The Amazing World of Gumball, featuresCharacter, Bobert]
  • A. Bob
    Bob is a common masculine given name, often used as a short form of Robert.
  • B. Robby
    Robby is a common diminutive given name, typically used as a familiar or affectionate form of the name Robert.
  • C. Bobby
    Bobby is a common diminutive or nickname for the given name Robert, often used in English-speaking countries.
  • D. Bobby
    "Bobby" is the second studio album by American R&B singer Bobby Brown, released in 1992 and known for its new jack swing sound and hit singles like "Humpin' Around."
  • E. Bobby
    "Bobby" is a film directed by Michael Barrett, best known for its portrayal of the events surrounding the assassination of U.S. Senator Robert F. Kennedy.
  • 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: Bobert
Triple: [The Amazing World of Gumball, featuresCharacter, Bobert]
Generated description
Bobert is a robotic student character from the animated television series "The Amazing World of Gumball," known for his literal, emotionless personality and advanced technological abilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bobert
Target entity description: Bobert is a robotic student character from the animated television series "The Amazing World of Gumball," known for his literal, emotionless personality and advanced technological abilities.
  • A. Bob
    Bob is a common masculine given name, often used as a short form of Robert.
  • B. Robby
    Robby is a common diminutive given name, typically used as a familiar or affectionate form of the name Robert.
  • C. Bobby
    Bobby is a common diminutive or nickname for the given name Robert, often used in English-speaking countries.
  • D. Bobby
    "Bobby" is the second studio album by American R&B singer Bobby Brown, released in 1992 and known for its new jack swing sound and hit singles like "Humpin' Around."
  • E. Bobby
    "Bobby" is a film directed by Michael Barrett, best known for its portrayal of the events surrounding the assassination of U.S. Senator Robert F. Kennedy.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd865a0bb081909579cfe7c7974075 completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21ef7acc8190aa7ff990a04ff09c completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf25467ad481909a24fb4cb2953af6 completed March 21, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_69bf25c28ad48190ad7f0e5cd9487a08 completed March 21, 2026, 11:12 p.m.
Created at: March 20, 2026, 2:02 p.m.