Triple

T4506110
Position Surface form Disambiguated ID Type / Status
Subject Toonami E101334 entity
Predicate featuresCharacter P626 FINISHED
Object T.O.M.
T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
 E447815 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: T.O.M. | Statement: [Toonami, featuresCharacter, T.O.M.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T.O.M.
Context triple: [Toonami, featuresCharacter, T.O.M.]
  • A. TOM
    TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
  • B. Tommo
    Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
  • C. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • D. Tommie
    Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
  • E. Tommy
    Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
  • 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: T.O.M.
Triple: [Toonami, featuresCharacter, T.O.M.]
Generated description
T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T.O.M.
Target entity description: T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
  • A. TOM
    TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
  • B. Tommo
    Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
  • C. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • D. Tommie
    Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
  • E. Tommy
    Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56ff78748190bb667e70c69dc817 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f9d05d08190bde36e7d614a0e2e completed March 20, 2026, 4:02 p.m.
NEDg Description generation batch_69bd705e0e848190a73e7ddb569f0e37 completed March 20, 2026, 4:05 p.m.
NED2 Entity disambiguation (via description) batch_69bd71b41664819091bd4f75d4634943 completed March 20, 2026, 4:11 p.m.
Created at: March 20, 2026, 1:01 p.m.