Triple
T7226598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Hortons |
E154795
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Timbits |
E135693
|
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: Timbits | Statement: [Tim Hortons, notableProduct, Timbits]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timbits Context triple: [Tim Hortons, notableProduct, Timbits]
-
A.
Donuts
chosen
Donuts is a highly influential 2006 instrumental hip-hop album by producer J Dilla, celebrated for its innovative sampling, emotional depth, and lasting impact on beat-making and underground hip-hop.
-
B.
Twinkie
Twinkie is a hustling, street-smart high school student in The Fast and the Furious: Tokyo Drift who introduces the protagonist to Tokyo’s underground drift racing scene.
-
C.
Bagel
A bagel is a dense, ring-shaped bread roll with a chewy interior and glossy crust, traditionally boiled then baked and often topped with seeds.
-
D.
SunChips
SunChips is a popular multigrain snack chip brand known for its wavy texture and variety of flavors.
-
E.
Carvel
Carvel is a fictional small American town that serves as the primary setting for the Andy Hardy film series.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9de21e081908f30700f6211c5ef |
completed | March 27, 2026, 8:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc17a3788190842a852fb4b96185 |
completed | March 28, 2026, 12:39 p.m. |
Created at: March 27, 2026, 2:54 p.m.