Triple
T14296286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suki Waterhouse |
E354446
|
entity |
| Predicate | modeledFor |
P2006
|
FINISHED |
| Object |
Sass & Bide
Sass & Bide is an Australian fashion label known for its edgy, high-end womenswear and distinctive, fashion-forward designs.
|
E1091777
|
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: Sass & Bide | Statement: [Suki Waterhouse, modeledFor, Sass & Bide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sass & Bide Context triple: [Suki Waterhouse, modeledFor, Sass & Bide]
-
A.
Carl & Cole
Carl & Cole is a San Francisco Muni light rail stop on the N Judah line located in the Cole Valley neighborhood.
-
B.
Madewell
Madewell is an American fashion brand best known for its casual, denim-focused clothing and accessories.
-
C.
Nasty Gal
Nasty Gal is a 1969 funk and soul album by singer Betty Davis, known for its raw, aggressive sound and Davis’s pioneering, sexually liberated persona.
-
D.
Osborne & Little
Osborne & Little is a renowned British design company celebrated for its luxury wallpapers and fabrics, known for innovative patterns and high-end interior furnishings.
-
E.
Gebbia
Gebbia is the surname of Joe Gebbia, the American designer and entrepreneur best known as a co-founder of Airbnb.
- 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: Sass & Bide Triple: [Suki Waterhouse, modeledFor, Sass & Bide]
Generated description
Sass & Bide is an Australian fashion label known for its edgy, high-end womenswear and distinctive, fashion-forward designs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sass & Bide Target entity description: Sass & Bide is an Australian fashion label known for its edgy, high-end womenswear and distinctive, fashion-forward designs.
-
A.
Carl & Cole
Carl & Cole is a San Francisco Muni light rail stop on the N Judah line located in the Cole Valley neighborhood.
-
B.
Madewell
Madewell is an American fashion brand best known for its casual, denim-focused clothing and accessories.
-
C.
Nasty Gal
Nasty Gal is a 1969 funk and soul album by singer Betty Davis, known for its raw, aggressive sound and Davis’s pioneering, sexually liberated persona.
-
D.
Osborne & Little
Osborne & Little is a renowned British design company celebrated for its luxury wallpapers and fabrics, known for innovative patterns and high-end interior furnishings.
-
E.
Gebbia
Gebbia is the surname of Joe Gebbia, the American designer and entrepreneur best known as a co-founder of Airbnb.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717b35ec81908968994e65737c66 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d246ccc81909e9fe8b4487dcc88 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3eabe838819099664221953ba756 |
completed | May 8, 2026, 1:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3f29b2148190931d415d6d5550a6 |
completed | May 8, 2026, 1:40 a.m. |
Created at: April 10, 2026, 1:11 a.m.