Triple
T14629055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA 2K League 2019 season |
E343431
|
entity |
| Predicate | newTeam |
P6609
|
FINISHED |
| Object | Lakers Gaming |
E66027
|
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: Lakers Gaming | Statement: [NBA 2K League 2019 season, newTeam, Lakers Gaming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakers Gaming Context triple: [NBA 2K League 2019 season, newTeam, Lakers Gaming]
-
A.
Lakers Gaming
chosen
Lakers Gaming is the Los Angeles Lakers’ official esports team that competes in the NBA 2K League.
-
B.
Pacers Gaming
Pacers Gaming is the official NBA 2K League esports team affiliated with the Indiana Pacers organization.
-
C.
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.
-
D.
Los Angeles Valiant
Los Angeles Valiant is a professional esports team that competes in Blizzard Entertainment’s Overwatch League, representing the Los Angeles region.
-
E.
Lakers Access
Lakers Access is a behind-the-scenes Los Angeles Lakers television program that offers exclusive team coverage, interviews, and analysis on Spectrum SportsNet.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a7c8fc81909d10c1f563d7d1e7 |
completed | April 14, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92ded848190b031d3ff29e54a00 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.