Triple
T2190468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Listerine |
E49848
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Listerine Zero Alcohol |
E49848
|
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: Listerine Zero Alcohol | Statement: [Listerine, hasVariant, Listerine Zero Alcohol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Listerine Zero Alcohol Context triple: [Listerine, hasVariant, Listerine Zero Alcohol]
-
A.
Listerine
chosen
Listerine is a widely used antiseptic mouthwash brand known for its strong flavor and plaque- and germ-fighting oral care products.
-
B.
Wrigley’s Spearmint
Wrigley’s Spearmint is a classic spearmint-flavored chewing gum brand known for its long-lasting flavor and iconic green packaging.
-
C.
Blistex
Blistex is an American company best known for producing lip care and other medicated skin care products.
-
D.
Avenol
Avenol is a French surname most notably borne by Joseph Avenol, a former Secretary-General of the League of Nations.
-
E.
Doublemint
Doublemint is a popular Wrigley chewing gum brand known for its long-lasting mint flavor and iconic twin-themed advertising.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf3f5e008190beda3ce5d77209e0 |
completed | March 7, 2026, 6:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5db0352c8190aa9c4c58460df3a4 |
completed | March 9, 2026, 5:42 a.m. |
Created at: March 4, 2026, 7:46 p.m.