Triple

T4101790
Position Surface form Disambiguated ID Type / Status
Subject Comedy Central E87956 entity
Predicate notableShow P2513 FINISHED
Object Tosh.0
Tosh.0 is an American comedy television series hosted by Daniel Tosh that satirically showcases and comments on viral internet videos and online culture.
E414131 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: Tosh.0 | Statement: [Comedy Central, notableShow, Tosh.0]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tosh.0
Context triple: [Comedy Central, notableShow, Tosh.0]
  • A. TOS
    TOS is an abbreviation that most commonly refers to "Terms of Service," the rules and conditions governing the use of a service or platform.
  • B. T.O.T.S.
    T.O.T.S. is an animated Disney Junior series that follows two delivery birds who transport baby animals to their families while learning lessons about friendship and responsibility.
  • C. TOB
    TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • D. Tus
    Tus is an ancient city in northeastern Iran, renowned as a cultural and literary center and traditionally regarded as the birthplace and home of the Persian epic poet Ferdowsi.
  • E. TOM
    TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
  • 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: Tosh.0
Triple: [Comedy Central, notableShow, Tosh.0]
Generated description
Tosh.0 is an American comedy television series hosted by Daniel Tosh that satirically showcases and comments on viral internet videos and online culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tosh.0
Target entity description: Tosh.0 is an American comedy television series hosted by Daniel Tosh that satirically showcases and comments on viral internet videos and online culture.
  • A. TOS
    TOS is an abbreviation that most commonly refers to "Terms of Service," the rules and conditions governing the use of a service or platform.
  • B. T.O.T.S.
    T.O.T.S. is an animated Disney Junior series that follows two delivery birds who transport baby animals to their families while learning lessons about friendship and responsibility.
  • C. TOB
    TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • D. Toker
    Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
  • E. Tus
    Tus is an ancient city in northeastern Iran, renowned as a cultural and literary center and traditionally regarded as the birthplace and home of the Persian epic poet Ferdowsi.
  • 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_69aed94564cc8190a9c1457daedb6e7f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd1012208190ab0980c661d6bc41 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7833b081909bf5a87ee709b49f completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56f33f7688190a017e4486a3ba542 completed March 14, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_69b56fafb8208190997b6d91c4a1774d completed March 14, 2026, 2:24 p.m.
Created at: March 9, 2026, 3:40 p.m.