Triple
T3778061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visual Concepts |
E83354
|
entity |
| Predicate | parentCompany |
P254
|
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: [Visual Concepts, parentCompany, 2K]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2K Context triple: [Visual Concepts, parentCompany, 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.
BK
BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
-
C.
NBA 2K League Studio
The NBA 2K League Studio is a dedicated esports arena where official NBA 2K League games are produced and played in a professional broadcast environment.
-
D.
NBA 2K
NBA 2K is a long-running basketball video game series that simulates the NBA with realistic gameplay, teams, and players.
-
E.
k_B
k_B is the conventional symbol used to denote the Boltzmann constant, a fundamental physical constant that relates temperature to energy at the particle level.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc5d3dbc8190b6ab118a56acd5a3 |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f03d3df48190a4b2382059b7bb24 |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 8, 2026, 3:36 p.m.