Triple
T14819582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariel |
E348409
|
entity |
| Predicate | hasProductVariant |
P455
|
FINISHED |
| Object |
Ariel Professional
Ariel Professional is a high-performance line of Ariel laundry detergents designed for intensive, large-scale, or professional cleaning needs.
|
E1121606
|
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: Ariel Professional | Statement: [Ariel, hasProductVariant, Ariel Professional]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ariel Professional Context triple: [Ariel, hasProductVariant, Ariel Professional]
-
A.
Doro
Doro is a diminutive form of the given name Dorothy, often used as a short or affectionate nickname.
-
B.
Struer
Struer is a Danish town in the Central Denmark Region known for its location on the Limfjord and as the historic home of the audio company Bang & Olufsen.
-
C.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
-
D.
Philips Wing
Philips Wing is a modern exhibition and gallery space within Amsterdam’s Rijksmuseum, often used for temporary and special exhibitions.
-
E.
Avisio
Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
- 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: Ariel Professional Triple: [Ariel, hasProductVariant, Ariel Professional]
Generated description
Ariel Professional is a high-performance line of Ariel laundry detergents designed for intensive, large-scale, or professional cleaning needs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ariel Professional Target entity description: Ariel Professional is a high-performance line of Ariel laundry detergents designed for intensive, large-scale, or professional cleaning needs.
-
A.
Doro
Doro is a diminutive form of the given name Dorothy, often used as a short or affectionate nickname.
-
B.
Struer
Struer is a Danish town in the Central Denmark Region known for its location on the Limfjord and as the historic home of the audio company Bang & Olufsen.
-
C.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
-
D.
Philips Wing
Philips Wing is a modern exhibition and gallery space within Amsterdam’s Rijksmuseum, often used for temporary and special exhibitions.
-
E.
Avisio
Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389940e081908ad627955cb8d52e |
completed | May 8, 2026, 7:25 p.m. |
| NEDg | Description generation | batch_69fe3a315d2c81908db44e7792908e39 |
completed | May 8, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe3bda81cc8190b256ec6284383dde |
completed | May 8, 2026, 7:39 p.m. |
Created at: April 10, 2026, 1:50 a.m.