Triple
T14117006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bounty |
E339798
|
entity |
| Predicate | hasProductVariant |
P455
|
FINISHED |
| Object |
Bounty Select-A-Size
Bounty Select-A-Size is a variant of Bounty paper towels featuring smaller, customizable sheet sizes designed to reduce waste and offer more flexible use.
|
E1079849
|
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: Bounty Select-A-Size | Statement: [Bounty, hasProductVariant, Bounty Select-A-Size]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bounty Select-A-Size Context triple: [Bounty, hasProductVariant, Bounty Select-A-Size]
-
A.
Bündchen
Bündchen is the German-origin surname most famously borne by Brazilian supermodel Gisele Bündchen.
-
B.
Buy n Large
Buy n Large is the massive, monopolistic megacorporation in Pixar's "WALL·E" universe that dominates global commerce and spacefaring operations.
-
C.
All in One Basket
All in One Basket is a collection of memoirs and writings by Deborah Cavendish, Duchess of Devonshire, reflecting on her life, family, and experiences within British high society.
-
D.
Goody Bag
"Goody Bag" is a popular Nigerian Afropop/hip-hop song by artist D'Prince, known for its catchy hook and club-friendly production.
-
E.
BONDI
BONDI is the airline callsign used by Flybondi, a low-cost carrier based in Argentina.
- 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: Bounty Select-A-Size Triple: [Bounty, hasProductVariant, Bounty Select-A-Size]
Generated description
Bounty Select-A-Size is a variant of Bounty paper towels featuring smaller, customizable sheet sizes designed to reduce waste and offer more flexible use.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bounty Select-A-Size Target entity description: Bounty Select-A-Size is a variant of Bounty paper towels featuring smaller, customizable sheet sizes designed to reduce waste and offer more flexible use.
-
A.
Bündchen
Bündchen is the German-origin surname most famously borne by Brazilian supermodel Gisele Bündchen.
-
B.
Buy n Large
Buy n Large is the massive, monopolistic megacorporation in Pixar's "WALL·E" universe that dominates global commerce and spacefaring operations.
-
C.
All in One Basket
All in One Basket is a collection of memoirs and writings by Deborah Cavendish, Duchess of Devonshire, reflecting on her life, family, and experiences within British high society.
-
D.
Goody Bag
"Goody Bag" is a popular Nigerian Afropop/hip-hop song by artist D'Prince, known for its catchy hook and club-friendly production.
-
E.
BONDI
BONDI is the airline callsign used by Flybondi, a low-cost carrier based in Argentina.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6010a03c81909f5f160f8d1fa8fa |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0baa328819099511dfa7b9666d3 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd3a8b8e08190b230ab8a2215145e |
completed | May 7, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd48acddc819087d626c4764bf148 |
completed | May 7, 2026, 6:06 p.m. |
Created at: April 9, 2026, 10:22 p.m.