Triple
T16938450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gregory Brothers |
E410885
|
entity |
| Predicate | YouTubeChannelName |
P118665
|
FINISHED |
| Object |
schmoyoho
schmoyoho is the popular YouTube channel of The Gregory Brothers, best known for their Auto-Tune the News and songified viral videos.
|
E1241887
|
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: schmoyoho | Statement: [The Gregory Brothers, YouTubeChannelName, schmoyoho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: schmoyoho Context triple: [The Gregory Brothers, YouTubeChannelName, schmoyoho]
-
A.
Shom
Shom is the French national hydrographic and oceanographic service responsible for producing and managing maritime and coastal data, charts, and related services.
-
B.
Schmued
Schmued is a German-origin surname most notably associated with Edgar Schmued, the aeronautical engineer behind iconic fighter aircraft such as the P-51 Mustang.
-
C.
SMO
SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
-
D.
SÖM
SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
-
E.
Shigmo
Shigmo is a spring harvest and Holi-related folk festival celebrated with vibrant processions, traditional dances, and music in Goa and the Konkan region of India.
- 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: schmoyoho Triple: [The Gregory Brothers, YouTubeChannelName, schmoyoho]
Generated description
schmoyoho is the popular YouTube channel of The Gregory Brothers, best known for their Auto-Tune the News and songified viral videos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: schmoyoho Target entity description: schmoyoho is the popular YouTube channel of The Gregory Brothers, best known for their Auto-Tune the News and songified viral videos.
-
A.
Shom
Shom is the French national hydrographic and oceanographic service responsible for producing and managing maritime and coastal data, charts, and related services.
-
B.
Schmued
Schmued is a German-origin surname most notably associated with Edgar Schmued, the aeronautical engineer behind iconic fighter aircraft such as the P-51 Mustang.
-
C.
SMO
SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
-
D.
SÖM
SÖM is the vehicle registration code for the Sömmerda district in the German state of Thuringia.
-
E.
Shigmo
Shigmo is a spring harvest and Holi-related folk festival celebrated with vibrant processions, traditional dances, and music in Goa and the Konkan region of India.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2b88bc8190aeb7b07032478ae3 |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfe7e75881908f95b1d859dd67e4 |
completed | May 10, 2026, 6:35 p.m. |
| NEDg | Description generation | batch_6a00d0b13f1c819091f3f8b966e36214 |
completed | May 10, 2026, 6:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d1ad6b7081908be76d70ad9e2075 |
completed | May 10, 2026, 6:42 p.m. |
Created at: April 10, 2026, 5:30 a.m.