Triple
T13816070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GEN.G TIG |
E332022
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Gen.G Esports |
E332020
|
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: Gen.G Esports | Statement: [GEN.G TIG, ownedBy, Gen.G Esports]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gen.G Esports Context triple: [GEN.G TIG, ownedBy, Gen.G Esports]
-
A.
Gen.G Esports
chosen
Gen.G Esports is a global professional esports organization fielding top-level teams across multiple games in North America and Asia.
-
B.
Gen.G Tigers of Shanghai
Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
-
C.
Team SoloMid
Team SoloMid (TSM) is a prominent North American esports organization best known for its highly successful League of Legends team and strong competitive legacy across multiple games.
-
D.
KRÜ Esports
KRÜ Esports is a Latin American professional esports organization owned by former Argentine footballer Sergio Agüero, known for competing in titles like VALORANT and FIFA.
-
E.
Team Liquid
Team Liquid is a prominent international esports organization known for fielding top-tier teams across multiple competitive games such as League of Legends, Dota 2, and Counter-Strike.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02806e148190996f58934e66d7d8 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1ba309c81908d83ba7efc663787 |
completed | May 6, 2026, 8:16 p.m. |
Created at: April 9, 2026, 10:12 p.m.