Triple
T12976750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fox Kids |
E321543
|
entity |
| Predicate | notableShowAired |
P50614
|
FINISHED |
| Object |
Digimon
Digimon is a Japanese media franchise centered on digital monsters that spans anime, video games, toys, and other merchandise.
|
E1012441
|
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: Digimon | Statement: [Fox Kids, notableShowAired, Digimon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Digimon Context triple: [Fox Kids, notableShowAired, Digimon]
-
A.
Augmon
Augmon is the surname of former American professional basketball player Stacey Augmon, known for his defensive prowess in the NBA.
-
B.
Doraemon
Doraemon is a popular Japanese manga and anime character, a robotic cat from the future who helps a young boy using futuristic gadgets from his four-dimensional pocket.
-
C.
Dangan Ressha
Dangan Ressha is the Japanese nickname meaning "Bullet Train," famously used for the pioneering 0 Series Shinkansen high-speed trains.
-
D.
Doryumu
Doryumu is a town in Ghana located near the Shai Hills Resource Reserve in the Greater Accra Region.
-
E.
Yu-Gi-Oh!
Yu-Gi-Oh! is a Japanese multimedia franchise centered on a trading card game and anime series about high-stakes duels involving magical cards and ancient powers.
- 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: Digimon Triple: [Fox Kids, notableShowAired, Digimon]
Generated description
Digimon is a Japanese media franchise centered on digital monsters that spans anime, video games, toys, and other merchandise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Digimon Target entity description: Digimon is a Japanese media franchise centered on digital monsters that spans anime, video games, toys, and other merchandise.
-
A.
Augmon
Augmon is the surname of former American professional basketball player Stacey Augmon, known for his defensive prowess in the NBA.
-
B.
Doraemon
Doraemon is a popular Japanese manga and anime character, a robotic cat from the future who helps a young boy using futuristic gadgets from his four-dimensional pocket.
-
C.
Dangan Ressha
Dangan Ressha is the Japanese nickname meaning "Bullet Train," famously used for the pioneering 0 Series Shinkansen high-speed trains.
-
D.
Doryumu
Doryumu is a town in Ghana located near the Shai Hills Resource Reserve in the Greater Accra Region.
-
E.
Yu-Gi-Oh!
Yu-Gi-Oh! is a Japanese multimedia franchise centered on a trading card game and anime series about high-stakes duels involving magical cards and ancient powers.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e48c0208190bb7ec80780480b37 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8f0315c8190aae5908ba65d5867 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6b9dc31ec819093c89ff0a1ccbfa1 |
completed | May 3, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6baacd7548190af5514923a0dee26 |
completed | May 3, 2026, 3:02 a.m. |
Created at: April 9, 2026, 8:38 p.m.