Triple
T21209107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extra |
E522671
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | Wrigley chewing gum |
—
|
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: Wrigley chewing gum | Statement: [Extra, brandOf, Wrigley chewing gum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wrigley chewing gum Context triple: [Extra, brandOf, Wrigley chewing gum]
-
A.
Wrigley’s Spearmint
Wrigley’s Spearmint is a classic spearmint-flavored chewing gum brand known for its long-lasting flavor and iconic green packaging.
-
B.
Mars Wrigley
chosen
Mars Wrigley is a global confectionery company best known for producing popular chocolate, gum, and candy brands such as M&M’s, Snickers, and Skittles.
-
C.
Trident (gum)
Trident is a popular sugar-free chewing gum brand known for its variety of flavors and emphasis on oral health benefits.
-
D.
Hollywood (chewing gum)
Hollywood is a French chewing gum brand known for its wide range of flavored gums and strong presence in the European confectionery market.
-
E.
5 Gum
5 Gum is a popular sugar-free chewing gum brand known for its intense flavors and sleek, modern packaging aimed at teens and young adults.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73436eb4c819082e05caf1ba52672 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:26 p.m.