Triple
T16000071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2K Games |
E388069
|
entity |
| Predicate | division |
P889
|
FINISHED |
| Object | 2K Marin |
E1062239
|
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: 2K Marin | Statement: [2K Games, division, 2K Marin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2K Marin Context triple: [2K Games, division, 2K Marin]
-
A.
2K Marin
chosen
2K Marin was an American video game development studio best known for its work on the critically acclaimed BioShock series and other narrative-driven action titles.
-
B.
2K Games
2K Games is a major American video game publisher known for franchises such as NBA 2K, BioShock, Borderlands, and Civilization.
-
C.
2K
2K is a major American video game publisher best known for its popular sports and action game franchises, including the NBA 2K series.
-
D.
2K Play
2K Play is a publishing label of 2K focused on casual, family-friendly, and licensed video games.
-
E.
Mad Catz
Mad Catz is a gaming peripherals company best known for producing controllers, fight sticks, and other accessories for consoles and PCs.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1578a0adc819097c6a23514182173 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d99ca08190a3d07a0802b1b24a |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.