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.