Triple
T9892882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ByteDance |
E181496
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Moonton
Moonton is a Chinese video game developer best known for creating the popular mobile multiplayer online battle arena game Mobile Legends: Bang Bang.
|
E828497
|
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: Moonton | Statement: [ByteDance, owns, Moonton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moonton Context triple: [ByteDance, owns, Moonton]
-
A.
League of Legends
League of Legends is a popular multiplayer online battle arena (MOBA) video game developed by Riot Games, known for its competitive esports scene and strategic team-based gameplay.
-
B.
Smite
Smite is a third-person multiplayer online battle arena (MOBA) game developed by Hi-Rez Studios in which players control mythological gods and deities in team-based combat.
-
C.
Paladins
Paladins is the name of the varsity athletic teams representing the Royal Military College of Canada.
-
D.
Paladins
The Paladins are the athletic teams and mascot identity representing Furman University in collegiate sports.
-
E.
LOL
LOL is a 2006 American independent mumblecore film directed by Joe Swanberg that explores modern relationships and digital communication.
- 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: Moonton Triple: [ByteDance, owns, Moonton]
Generated description
Moonton is a Chinese video game developer best known for creating the popular mobile multiplayer online battle arena game Mobile Legends: Bang Bang.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moonton Target entity description: Moonton is a Chinese video game developer best known for creating the popular mobile multiplayer online battle arena game Mobile Legends: Bang Bang.
-
A.
League of Legends
League of Legends is a popular multiplayer online battle arena (MOBA) video game developed by Riot Games, known for its competitive esports scene and strategic team-based gameplay.
-
B.
Smite
Smite is a third-person multiplayer online battle arena (MOBA) game developed by Hi-Rez Studios in which players control mythological gods and deities in team-based combat.
-
C.
Paladins
Paladins is the name of the varsity athletic teams representing the Royal Military College of Canada.
-
D.
Paladins
The Paladins are the athletic teams and mascot identity representing Furman University in collegiate sports.
-
E.
LOL
LOL is a 2006 American independent mumblecore film directed by Joe Swanberg that explores modern relationships and digital communication.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4814a3c8190ab1fd7f755a44508 |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb0d984c81908408f90f156624e5 |
completed | April 5, 2026, 4:54 a.m. |
| NEDg | Description generation | batch_69d1edaceb608190a75e738a34c6d16f |
completed | April 5, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ee5b837c8190b294a78cebf141ae |
completed | April 5, 2026, 5:08 a.m. |
Created at: March 30, 2026, 8:39 p.m.