Triple
T15850430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J Sports |
E384319
|
entity |
| Predicate | availableOn |
P1278
|
FINISHED |
| Object |
J:COM
J:COM is a major Japanese cable television and broadband provider offering a wide range of TV channels, internet, and telephony services.
|
E1179325
|
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: J:COM | Statement: [J Sports, availableOn, J:COM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J:COM Context triple: [J Sports, availableOn, J:COM]
-
A.
Nimco
Nimco is the wife of Somali-born British journalist and television news presenter Rageh Omaar.
-
B.
Tokyo MX
Tokyo MX is a Japanese independent television station based in Tokyo, known for broadcasting a wide range of anime and local programming.
-
C.
Tokyo Denki
Tokyo Denki was a Japanese electrical company that became a predecessor of the modern electronics conglomerate Toshiba.
-
D.
Hudson Soft
Hudson Soft was a Japanese video game company best known for creating popular franchises like Bomberman and co-developing early entries in the Mario Party series.
-
E.
JVC
JVC (Victor Company of Japan, Ltd.) is a Japanese electronics manufacturer best known for developing the VHS video format and producing audio-visual equipment.
- 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: J:COM Triple: [J Sports, availableOn, J:COM]
Generated description
J:COM is a major Japanese cable television and broadband provider offering a wide range of TV channels, internet, and telephony services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: J:COM Target entity description: J:COM is a major Japanese cable television and broadband provider offering a wide range of TV channels, internet, and telephony services.
-
A.
Nimco
Nimco is the wife of Somali-born British journalist and television news presenter Rageh Omaar.
-
B.
Tokyo MX
Tokyo MX is a Japanese independent television station based in Tokyo, known for broadcasting a wide range of anime and local programming.
-
C.
Tokyo Denki
Tokyo Denki was a Japanese electrical company that became a predecessor of the modern electronics conglomerate Toshiba.
-
D.
Hudson Soft
Hudson Soft was a Japanese video game company best known for creating popular franchises like Bomberman and co-developing early entries in the Mario Party series.
-
E.
JVC
JVC (Victor Company of Japan, Ltd.) is a Japanese electronics manufacturer best known for developing the VHS video format and producing audio-visual equipment.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14cab0fe48190bd6629e071761e91 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa147bce481909fb6f6ef2793a5a8 |
completed | May 9, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69ffa41a86ec8190b46d541965ecf26e |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa496f3e48190b8dc82bece548aec |
completed | May 9, 2026, 9:18 p.m. |
Created at: April 10, 2026, 4:50 a.m.