Triple

T9892893
Position Surface form Disambiguated ID Type / Status
Subject ByteDance E181496 entity
Predicate subsidiary P258 FINISHED
Object Moonton E828497 NE FINISHED

How this triple was built (2 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, subsidiary, Moonton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moonton
Context triple: [ByteDance, subsidiary, Moonton]
  • A. Moonton chosen
    Moonton is a Chinese video game developer best known for creating the popular mobile multiplayer online battle arena game Mobile Legends: Bang Bang.
  • B. 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.
  • C. 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.
  • D. Paladins
    Paladins is the name of the varsity athletic teams representing the Royal Military College of Canada.
  • E. Paladins
    The Paladins are the athletic teams and mascot identity representing Furman University in collegiate sports.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d20d888b408190a68ff55d63558478 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:39 p.m.