Triple
T18970242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nabisco |
E464146
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Wheat Thins |
—
|
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: Wheat Thins | Statement: [Nabisco, brand, Wheat Thins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wheat Thins Context triple: [Nabisco, brand, Wheat Thins]
-
A.
Wheat Thins
chosen
Wheat Thins are a popular brand of thin, crispy whole-grain wheat crackers commonly eaten as a snack or with dips and cheese.
-
B.
Cheez-It
Cheez-It is a popular American snack brand known for its small, square, cheese-flavored crackers.
-
C.
Triscuit
Triscuit is a popular American brand of baked whole-grain wheat crackers known for their woven texture and simple ingredients.
-
D.
Cheetos
Cheetos is a popular brand of cheese-flavored puffed corn snacks known for their bright orange color and crunchy texture.
-
E.
SunChips
SunChips is a popular multigrain snack chip brand known for its wavy texture and variety of flavors.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d619acbc8190acb49b3fae707758 |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon