Triple
T919468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nets Gaming Crew |
E19849
|
entity |
| Predicate | hasGame |
P3585
|
FINISHED |
| Object | NBA 2K |
E13080
|
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: NBA 2K | Statement: [Nets Gaming Crew, hasGame, NBA 2K]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NBA 2K Context triple: [Nets Gaming Crew, hasGame, NBA 2K]
-
A.
NBA 2K
chosen
NBA 2K is a long-running basketball video game series that simulates the NBA with realistic gameplay, teams, and players.
-
B.
NBA Live
NBA Live is a basketball video game series developed and published by EA Sports that simulates National Basketball Association gameplay.
-
C.
NBA 2K League
The NBA 2K League is a professional esports league co-founded by the NBA and Take-Two Interactive that features official NBA team-affiliated squads competing in the NBA 2K video game.
-
D.
FIFA
FIFA is the international governing body of association football, responsible for organizing major global tournaments such as the FIFA World Cup and overseeing the sport’s rules and international governance.
-
E.
2K
2K is a major American video game publisher best known for its popular sports and action game franchises, including the NBA 2K series.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3103bf48190af3f8d8b2d0fe918 |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee094c94819093578c949db7ded9 |
completed | March 4, 2026, 8:32 a.m. |
Created at: March 1, 2026, 7:40 p.m.