Triple
T704393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia-Pacific |
E14067
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Sparkle
Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
|
E85153
|
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: Sparkle | Statement: [Georgia-Pacific, brand, Sparkle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sparkle Context triple: [Georgia-Pacific, brand, Sparkle]
-
A.
Sparks
Sparks is a city in northern Nevada known for its proximity to Reno and its role as a regional hub for industry, transportation, and outdoor recreation.
-
B.
Shine
Shine is a studio album by British R&B singer Estelle that showcases her blend of soul, hip hop, and pop influences.
-
C.
Shine
Shine is a critically acclaimed 1996 biographical drama film in which Geoffrey Rush delivers an Oscar-winning performance as pianist David Helfgott.
-
D.
Sunshine
"Sunshine" is a 2007 science fiction thriller film directed by Danny Boyle about a crew’s perilous mission to reignite the dying sun, featuring Cillian Murphy in a leading role.
-
E.
Magique
Magique is the star-shaped, elf-like mascot created to represent the 1992 Winter Olympics in Albertville, France.
- 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: Sparkle Triple: [Georgia-Pacific, brand, Sparkle]
Generated description
Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sparkle Target entity description: Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
-
A.
Sparks
Sparks is a city in northern Nevada known for its proximity to Reno and its role as a regional hub for industry, transportation, and outdoor recreation.
-
B.
Shine
Shine is a critically acclaimed 1996 biographical drama film in which Geoffrey Rush delivers an Oscar-winning performance as pianist David Helfgott.
-
C.
Shine
Shine is a studio album by British R&B singer Estelle that showcases her blend of soul, hip hop, and pop influences.
-
D.
Sunshine
"Sunshine" is a 2007 science fiction thriller film directed by Danny Boyle about a crew’s perilous mission to reignite the dying sun, featuring Cillian Murphy in a leading role.
-
E.
Magique
Magique is the star-shaped, elf-like mascot created to represent the 1992 Winter Olympics in Albertville, France.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a533fa788190bba0f55655469c46 |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dcae2ef88190a9ea1604429f048a |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5df14e1788190bb2f2cc87cadcb40 |
completed | March 2, 2026, 7:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5ff5dd4808190bb8ae25fbdca0075 |
completed | March 2, 2026, 9:21 p.m. |
Created at: March 1, 2026, 7:36 p.m.