Triple
T528429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA 2K League |
E10974
|
entity |
| Predicate | hasTeam |
P330
|
FINISHED |
| Object |
Lakers Gaming
Lakers Gaming is the Los Angeles Lakers’ official esports team that competes in the NBA 2K League.
|
E66027
|
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: Lakers Gaming | Statement: [NBA 2K League, hasTeam, Lakers Gaming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakers Gaming Context triple: [NBA 2K League, hasTeam, Lakers Gaming]
-
A.
South Bay Lakers
The South Bay Lakers are the Los Angeles Lakers’ NBA G League team, serving as their primary developmental affiliate for emerging players and prospects.
-
B.
Nets Gaming Crew
Nets Gaming Crew is a professional NBA 2K League esports team affiliated with the Brooklyn Nets.
-
C.
Knicks Gaming
Knicks Gaming is the official NBA 2K League esports team affiliated with the New York Knicks.
-
D.
Los Angeles Lakers
The Los Angeles Lakers are a storied NBA franchise based in Los Angeles, renowned for their many championships and legendary players such as Magic Johnson, Kobe Bryant, and LeBron James.
-
E.
Los Angeles Clippers
The Los Angeles Clippers are a professional basketball team in the NBA known for representing Los Angeles and playing their home games in the Western Conference’s Pacific Division.
- 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: Lakers Gaming Triple: [NBA 2K League, hasTeam, Lakers Gaming]
Generated description
Lakers Gaming is the Los Angeles Lakers’ official esports team that competes in the NBA 2K League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lakers Gaming Target entity description: Lakers Gaming is the Los Angeles Lakers’ official esports team that competes in the NBA 2K League.
-
A.
South Bay Lakers
The South Bay Lakers are the Los Angeles Lakers’ NBA G League team, serving as their primary developmental affiliate for emerging players and prospects.
-
B.
Nets Gaming Crew
Nets Gaming Crew is a professional NBA 2K League esports team affiliated with the Brooklyn Nets.
-
C.
Knicks Gaming
Knicks Gaming is the official NBA 2K League esports team affiliated with the New York Knicks.
-
D.
Los Angeles Lakers
The Los Angeles Lakers are a storied NBA franchise based in Los Angeles, renowned for their many championships and legendary players such as Magic Johnson, Kobe Bryant, and LeBron James.
-
E.
Los Angeles Clippers
The Los Angeles Clippers are a professional basketball team in the NBA known for representing Los Angeles and playing their home games in the Western Conference’s Pacific Division.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d39b4c81909f265b3501b5ec1d |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b5d71fa881908c52d2a675b5b7d1 |
completed | March 1, 2026, 9:55 p.m. |
| NEDg | Description generation | batch_69a4b6643eb481908c1acc6f6d93aa05 |
completed | March 1, 2026, 9:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4b6d923b881908d5ad572be2c2946 |
completed | March 1, 2026, 9:59 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.