Triple
T9968741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosie Huntington-Whiteley |
E195749
|
entity |
| Predicate | workedFor |
P1910
|
FINISHED |
| Object |
Paige Denim
Paige Denim is a premium Los Angeles–based fashion brand best known for its high-quality designer jeans and contemporary denim apparel.
|
E832147
|
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: Paige Denim | Statement: [Rosie Huntington-Whiteley, workedFor, Paige Denim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paige Denim Context triple: [Rosie Huntington-Whiteley, workedFor, Paige Denim]
-
A.
Isabel Jeans
Isabel Jeans was a British stage and film actress known for her sophisticated roles in early 20th-century cinema, including appearances in several Alfred Hitchcock films.
-
B.
Pepe Jeans
Pepe Jeans is a British denim and casualwear fashion brand known for its trendy jeans and youthful, urban style.
-
C.
Hilfiger Denim
Hilfiger Denim is a casual clothing line under the Tommy Hilfiger fashion label, focusing on youthful, denim-centered apparel with a classic American style.
-
D.
Sasson Jeans
Sasson Jeans was a popular American denim and sportswear brand that gained prominence in the late 1970s and 1980s for its fashion-forward jeans and memorable advertising campaigns.
-
E.
Jupe
Jupe is a surname most notably associated with English actor Noah Jupe.
- 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: Paige Denim Triple: [Rosie Huntington-Whiteley, workedFor, Paige Denim]
Generated description
Paige Denim is a premium Los Angeles–based fashion brand best known for its high-quality designer jeans and contemporary denim apparel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paige Denim Target entity description: Paige Denim is a premium Los Angeles–based fashion brand best known for its high-quality designer jeans and contemporary denim apparel.
-
A.
Isabel Jeans
Isabel Jeans was a British stage and film actress known for her sophisticated roles in early 20th-century cinema, including appearances in several Alfred Hitchcock films.
-
B.
Pepe Jeans
Pepe Jeans is a British denim and casualwear fashion brand known for its trendy jeans and youthful, urban style.
-
C.
Hilfiger Denim
Hilfiger Denim is a casual clothing line under the Tommy Hilfiger fashion label, focusing on youthful, denim-centered apparel with a classic American style.
-
D.
Sasson Jeans
Sasson Jeans was a popular American denim and sportswear brand that gained prominence in the late 1970s and 1980s for its fashion-forward jeans and memorable advertising campaigns.
-
E.
Jupe
Jupe is a surname most notably associated with English actor Noah Jupe.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b683ac8190ac97bd775a860d29 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23dc117f48190ad66dd62f9833a10 |
completed | April 5, 2026, 10:47 a.m. |
| NEDg | Description generation | batch_69d23eb2971c8190bcdbc31b4ef19816 |
completed | April 5, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d240d7b7e881909183d7c33bd8cb5b |
completed | April 5, 2026, 11 a.m. |
Created at: March 30, 2026, 8:47 p.m.