Triple
T15999225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL 2K |
E388052
|
entity |
| Predicate | brandOwner |
P347
|
FINISHED |
| Object | 2K |
E83360
|
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 | Statement: [NFL 2K, brandOwner, 2K]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2K Context triple: [NFL 2K, brandOwner, 2K]
-
A.
2K
chosen
2K is a major American video game publisher best known for its popular sports and action game franchises, including the NBA 2K series.
-
B.
2K Play
2K Play is a publishing label of 2K focused on casual, family-friendly, and licensed video games.
-
C.
2K Marin
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.
-
D.
B2K
B2K is an American R&B boy band that rose to prominence in the early 2000s with hits like "Bump, Bump, Bump" and "Uh Huh."
-
E.
BK
BK is the Faculty of Architecture and the Built Environment at Delft University of Technology, known for its leading programs and research in architecture, urbanism, and the built environment.
- 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.