Triple
T22067341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flipt |
E545308
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Flipt |
—
|
NE NERFINISHED |
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: Flipt | Statement: [Flipt, name, Flipt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flipt Context triple: [Flipt, name, Flipt]
-
A.
Flipt
chosen
Flipt is a casual dining restaurant located inside Rivers Casino Des Plaines, known for serving classic American comfort food like burgers and sandwiches.
-
B.
Flip
Flip is a component or feature that forms part of the larger system or entity known as Zaba.
-
C.
Flip
Flip is a hip-hop artist affiliated with the French Montana-led label and collective Coke Boys Records.
-
D.
Flip 3D
Flip 3D is a Windows desktop navigation feature that presents open windows in a 3D stacked view, allowing users to cycle through them with a visual flipping effect.
-
E.
Uno Flip!
Uno Flip! is a variant of the classic Uno card game that introduces double-sided cards and a "Flip" mechanic to dramatically change gameplay mid-round.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12884937c819095d3af69123fa2cb |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:27 p.m.