Triple
T5438061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whiskey Pete's |
E122059
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | Affinity Gaming |
E519261
|
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: Affinity Gaming | Statement: [Whiskey Pete's, operatedBy, Affinity Gaming]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Affinity Gaming Context triple: [Whiskey Pete's, operatedBy, Affinity Gaming]
-
A.
Affinity Gaming
chosen
Affinity Gaming is a U.S.-based casino gaming company that owns and operates several casinos and resorts, primarily in Nevada and the Midwest.
-
B.
Bucks Gaming
Bucks Gaming is the Milwaukee Bucks’ official esports team that competes in the NBA 2K League.
-
C.
Actian Games
Actian Games were athletic competitions held in ancient Rome to commemorate the naval victory at the Battle of Actium.
-
D.
Grizz Gaming
Grizz Gaming is the official NBA 2K League esports team affiliated with the Memphis Grizzlies.
-
E.
KAOS Network
KAOS Network is a community-based multimedia arts and cultural center in Los Angeles known for nurturing hip-hop, youth arts, and grassroots creative expression.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91bce47c8190b9fd23444e636cdd |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf412aa8bc81908d74589b2a38e5eb |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 2:07 p.m.