Triple
T18496007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downtown no Gaki no Tsukai ya Arahende!! |
E451949
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object |
Downtown
Downtown is a Japanese comedy duo famed for their influential manzai acts and for hosting numerous popular variety shows on Japanese television.
|
E1327363
|
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: Downtown | Statement: [Downtown no Gaki no Tsukai ya Arahende!!, presenter, Downtown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downtown Context triple: [Downtown no Gaki no Tsukai ya Arahende!!, presenter, Downtown]
-
A.
Downtown
Downtown is an American television series featuring Mariska Hargitay in a leading role.
-
B.
Downtown
Downtown is the central business and commercial district of Washington, D.C., known for its offices, shops, restaurants, and proximity to major landmarks.
-
C.
Downtown
Downtown refers to the central urban area of a city, typically its main commercial and business district.
-
D.
Downtown
"Downtown" is a bilingual pop-funk single by Brazilian singer Anitta, known for its sultry style and international collaboration with Colombian artist J Balvin.
-
E.
Downtown
"Downtown" is a 2010 country-pop song by Lady A (formerly Lady Antebellum), known for its upbeat tempo and playful lyrics about escaping routine for a night out in the city.
- 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: Downtown Triple: [Downtown no Gaki no Tsukai ya Arahende!!, presenter, Downtown]
Generated description
Downtown is a Japanese comedy duo famed for their influential manzai acts and for hosting numerous popular variety shows on Japanese television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Downtown Target entity description: Downtown is a Japanese comedy duo famed for their influential manzai acts and for hosting numerous popular variety shows on Japanese television.
-
A.
Downtown
"Downtown" is a bilingual pop-funk single by Brazilian singer Anitta, known for its sultry style and international collaboration with Colombian artist J Balvin.
-
B.
Downtown
"Downtown" is a funk- and hip hop-influenced single by Macklemore & Ryan Lewis, known for its nostalgic homage to old-school rap and mopeds.
-
C.
Downtown
"Downtown" is a 2010 country-pop song by Lady A (formerly Lady Antebellum), known for its upbeat tempo and playful lyrics about escaping routine for a night out in the city.
-
D.
Downtown
Downtown is an American television series featuring Mariska Hargitay in a leading role.
-
E.
Downtown
Downtown is the central business and commercial district of Washington, D.C., known for its offices, shops, restaurants, and proximity to major landmarks.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c09a8081909cf0b44df3682bb8 |
completed | April 19, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a047140433481908993cac57195a095 |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a047404e3d48190b216f326042c9584 |
completed | May 13, 2026, 12:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0474a01e088190bfd475c4d2255bf1 |
completed | May 13, 2026, 12:54 p.m. |
Created at: April 10, 2026, 11:35 a.m.