Triple

T20943077
Position Surface form Disambiguated ID Type / Status
Subject Arthur Samuel Allen E515771 entity
Predicate nickname P55 FINISHED
Object Tubby
Tubby is the nickname of Arthur Samuel Allen, an individual known primarily in association with this informal moniker.
 E1459925 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: Tubby | Statement: [Arthur Samuel Allen, nickname, Tubby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tubby
Context triple: [Arthur Samuel Allen, nickname, Tubby]
  • A. Tubby
    Tubby is the nickname of American college basketball coach Tubby Smith, known for leading the University of Kentucky to the 1998 NCAA championship.
  • B. Tum-Tum
    Tum-Tum is the youngest, food-loving and comedic brother in the Three Ninjas film series, known for his energetic personality and martial arts skills.
  • C. Tutty
    Tutty is a given name most notably associated with the fictional character Tutty Bomowski.
  • D. Tubby Raymond
    Tubby Raymond was a highly successful American college football coach best known for leading the University of Delaware’s program for decades and popularizing the Wing-T offense.
  • E. Bubs
    Bubs is a casual nickname commonly used for the character Bubbles, often conveying affection or familiarity.
  • 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: Tubby
Triple: [Arthur Samuel Allen, nickname, Tubby]
Generated description
Tubby is the nickname of Arthur Samuel Allen, an individual known primarily in association with this informal moniker.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tubby
Target entity description: Tubby is the nickname of Arthur Samuel Allen, an individual known primarily in association with this informal moniker.
  • A. Tubby
    Tubby is the nickname of American college basketball coach Tubby Smith, known for leading the University of Kentucky to the 1998 NCAA championship.
  • B. Tum-Tum
    Tum-Tum is the youngest, food-loving and comedic brother in the Three Ninjas film series, known for his energetic personality and martial arts skills.
  • C. Tutty
    Tutty is a given name most notably associated with the fictional character Tutty Bomowski.
  • D. Tubby Raymond
    Tubby Raymond was a highly successful American college football coach best known for leading the University of Delaware’s program for decades and popularizing the Wing-T offense.
  • E. Bubs
    Bubs is a key character in the South Korean science-fiction film "Space Sweepers," known as the witty, humanoid robot who serves on the spaceship Victory’s crew.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f95838708190978dfa8bc786fb22 completed April 21, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09278581d481909f26f27b6a92b652 completed May 17, 2026, 2:27 a.m.
NEDg Description generation batch_6a092b5c6b8481909947112f483d0242 completed May 17, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_6a092c0df8188190ac9c80f2ae5b9618 completed May 17, 2026, 2:46 a.m.
Created at: April 16, 2026, 12:50 p.m.