Triple
T2164937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camel |
E46887
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Camel Filters
Camel Filters is a filtered cigarette line produced under the Camel brand, known for its distinctive blend and long-standing presence in the tobacco market.
|
E240652
|
NE FINISHED |
How this triple was built (4 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 Filters | Statement: [Camel, hasVariant, Camel Filters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camel Filters Context triple: [Camel, hasVariant, Camel Filters]
-
A.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
B.
Camm
Camm is a surname most notably associated with Sir Sydney Camm, the influential British aircraft designer behind the Hawker Hurricane.
-
C.
Lefuel
Lefuel is a French surname most notably associated with Hector Lefuel, a 19th-century architect known for his work on the Louvre in Paris.
-
D.
Megacam
Megacam is a wide-field optical imaging camera used on large ground-based telescopes for deep, high-resolution astronomical surveys.
-
E.
The Diesel
The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Camel Filters Triple: [Camel, hasVariant, Camel Filters]
Generated description
Camel Filters is a filtered cigarette line produced under the Camel brand, known for its distinctive blend and long-standing presence in the tobacco market.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Camel Filters Target entity description: Camel Filters is a filtered cigarette line produced under the Camel brand, known for its distinctive blend and long-standing presence in the tobacco market.
-
A.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
B.
Camm
Camm is a surname most notably associated with Sir Sydney Camm, the influential British aircraft designer behind the Hawker Hurricane.
-
C.
Lefuel
Lefuel is a French surname most notably associated with Hector Lefuel, a 19th-century architect known for his work on the Louvre in Paris.
-
D.
Megacam
Megacam is a wide-field optical imaging camera used on large ground-based telescopes for deep, high-resolution astronomical surveys.
-
E.
The Diesel
The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
- F. None of above. chosen
Provenance (5 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe8e1cfc81908adc0357ddfec701 |
completed | March 7, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58ee18ac81909f02e2c87000365b |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae5972d3d4819082f8896f12126422 |
completed | March 9, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a10607881909849a72201399d62 |
completed | March 9, 2026, 5:26 a.m. |
Created at: March 4, 2026, 7:45 p.m.