Triple
T20813347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Next plc |
E512369
|
entity |
| Predicate | hasSubsidiaryBrand |
P25079
|
FINISHED |
| Object |
Lipsy
Lipsy is a British fashion brand known for its trend-led womenswear and party dresses, owned by the retail company Next plc.
|
E1451424
|
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: Lipsy | Statement: [Next plc, hasSubsidiaryBrand, Lipsy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lipsy Context triple: [Next plc, hasSubsidiaryBrand, Lipsy]
-
A.
Red Lips
"Red Lips" is a 2012 electropop/grunge-influenced single by American singer Sky Ferreira, known for its abrasive sound and collaboration with producer Greg Kurstin.
-
B.
Cookie Lips
"Cookie Lips" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically tinged, lo-fi sound.
-
C.
Sugar Lips
"Sugar Lips" is a popular jazz trumpet tune by Al Hirt that became one of his signature hits in the 1960s.
-
D.
Hot Lips
Hot Lips is the nickname of Oran "Hot Lips" Page, an influential American jazz trumpeter and vocalist known for his powerful playing and contributions to the swing era.
-
E.
Hot Lips
Hot Lips is the nickname of Major Margaret Houlihan, the strict yet evolving head nurse character from the M*A*S*H franchise.
- 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: Lipsy Triple: [Next plc, hasSubsidiaryBrand, Lipsy]
Generated description
Lipsy is a British fashion brand known for its trend-led womenswear and party dresses, owned by the retail company Next plc.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lipsy Target entity description: Lipsy is a British fashion brand known for its trend-led womenswear and party dresses, owned by the retail company Next plc.
-
A.
Red Lips
"Red Lips" is a 2012 electropop/grunge-influenced single by American singer Sky Ferreira, known for its abrasive sound and collaboration with producer Greg Kurstin.
-
B.
Cookie Lips
"Cookie Lips" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically tinged, lo-fi sound.
-
C.
Sugar Lips
"Sugar Lips" is a popular jazz trumpet tune by Al Hirt that became one of his signature hits in the 1960s.
-
D.
Hot Lips
Hot Lips is the nickname of Major Margaret Houlihan, the strict yet evolving head nurse character from the M*A*S*H franchise.
-
E.
Hot Lips
Hot Lips is the nickname of Oran "Hot Lips" Page, an influential American jazz trumpeter and vocalist known for his powerful playing and contributions to the swing era.
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d415688190b66adc44d4df9bbb |
completed | April 21, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8cdb5d08190a8925efe00fef10e |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f9f7aff481908283ffe92d95646d |
completed | May 16, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08faa15c488190b7a3ed000c093be7 |
completed | May 16, 2026, 11:15 p.m. |
Created at: April 16, 2026, 12:40 p.m.