Triple

T19995612
Position Surface form Disambiguated ID Type / Status
Subject Jellicle cats E494183 entity
Predicate hasMember P10 FINISHED
Object Tumblebrutus
Tumblebrutus is a playful, acrobatic tomcat character from the musical "Cats," known for his energetic dancing and youthful exuberance.
 E1405679 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: Tumblebrutus | Statement: [Jellicle cats, hasMember, Tumblebrutus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tumblebrutus
Context triple: [Jellicle cats, hasMember, Tumblebrutus]
  • A. Busta Gallorum
    Busta Gallorum is the historic battlefield in Italy where the Ostrogothic king Totila was killed during the Gothic War against the Byzantine Empire.
  • B. Vulfpeck
    Vulfpeck is an American funk band known for its tight, minimalist grooves, virtuosic musicianship, and innovative, DIY approach to recording and releasing music.
  • C. Becmen
    Becmen is a village in the Surčin municipality of Belgrade, Serbia.
  • D. Brutinel
    Brutinel is a French surname most notably associated with Raymond Brutinel, a pioneering military officer and early advocate of mechanized warfare.
  • E. Brutha
    Brutha is the naive yet devout novice-turned-prophet who serves as the central character and moral compass in Terry Pratchett’s Discworld novel "Small Gods."
  • 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: Tumblebrutus
Triple: [Jellicle cats, hasMember, Tumblebrutus]
Generated description
Tumblebrutus is a playful, acrobatic tomcat character from the musical "Cats," known for his energetic dancing and youthful exuberance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tumblebrutus
Target entity description: Tumblebrutus is a playful, acrobatic tomcat character from the musical "Cats," known for his energetic dancing and youthful exuberance.
  • A. Busta Gallorum
    Busta Gallorum is the historic battlefield in Italy where the Ostrogothic king Totila was killed during the Gothic War against the Byzantine Empire.
  • B. Vulfpeck
    Vulfpeck is an American funk band known for its tight, minimalist grooves, virtuosic musicianship, and innovative, DIY approach to recording and releasing music.
  • C. Becmen
    Becmen is a village in the Surčin municipality of Belgrade, Serbia.
  • D. Brutinel
    Brutinel is a French surname most notably associated with Raymond Brutinel, a pioneering military officer and early advocate of mechanized warfare.
  • E. Brutha
    Brutha is the naive yet devout novice-turned-prophet who serves as the central character and moral compass in Terry Pratchett’s Discworld novel "Small Gods."
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe3fb288190a935c334e8a5d54e completed April 20, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0805061b248190ae4ac97f28203a4f completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0806b68a448190813cef122c3f2412 completed May 16, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_6a080750f4b08190af91aa33debf96d0 completed May 16, 2026, 5:57 a.m.
Created at: April 11, 2026, 3:31 p.m.