Triple
T10263606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camel |
E240660
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object | Camel Menthol |
E240656
|
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: Camel Menthol | Statement: [Camel, variant, Camel Menthol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camel Menthol Context triple: [Camel, variant, Camel Menthol]
-
A.
Camel Menthol
chosen
Camel Menthol is a menthol-flavored variant of Camel cigarettes, offering a minty, cooling smoking experience.
-
B.
L&M Menthol
L&M Menthol is a menthol-flavored variant of the L&M cigarette brand, offering a cooler, minty smoking experience.
-
C.
Kent Menthol
Kent Menthol is a menthol-flavored variant of the Kent brand of cigarettes, offering a minty, cooling smoking experience.
-
D.
Peppermint
Peppermint is a 2018 American action thriller film starring Jennifer Garner as a vigilante seeking revenge for her family's murder.
-
E.
Parliament Menthol
Parliament Menthol is a menthol-flavored variant of Parliament cigarettes known for its recessed filter and smoother, minty taste.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d25e68fc8190b46699d2266c0505 |
completed | April 7, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71ce5ac10819092c287bc435ae010 |
completed | April 9, 2026, 3:28 a.m. |
Created at: April 6, 2026, 11:33 a.m.