Triple
T15122599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hailey Baldwin |
E361204
|
entity |
| Predicate | hasModeledFor |
P17880
|
FINISHED |
| Object |
Topshop
Topshop is a British fast-fashion retailer known for its trendy, youth-oriented clothing and accessories.
|
E1137799
|
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: Topshop | Statement: [Hailey Baldwin, hasModeledFor, Topshop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Topshop Context triple: [Hailey Baldwin, hasModeledFor, Topshop]
-
A.
Topshop Unique
Topshop Unique was the premium, runway-focused line of the British high-street fashion retailer Topshop, known for showing at London Fashion Week.
-
B.
Primark
Primark is a major Irish-founded fast-fashion retail chain known for its low-priced clothing, accessories, and home goods, operating under the Penneys brand in Ireland and Primark elsewhere in Europe and the United States.
-
C.
H&M
H&M, in this context, refers to the historic Hudson and Manhattan Railroad, an early 20th-century rapid transit system that connected Manhattan with New Jersey and served as a predecessor to today’s PATH trains.
-
D.
H&M
H&M is a global fast-fashion retail chain known for offering trendy clothing and accessories at affordable prices.
-
E.
Zara
Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
- 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: Topshop Triple: [Hailey Baldwin, hasModeledFor, Topshop]
Generated description
Topshop is a British fast-fashion retailer known for its trendy, youth-oriented clothing and accessories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Topshop Target entity description: Topshop is a British fast-fashion retailer known for its trendy, youth-oriented clothing and accessories.
-
A.
Topshop Unique
Topshop Unique was the premium, runway-focused line of the British high-street fashion retailer Topshop, known for showing at London Fashion Week.
-
B.
Primark
Primark is a major Irish-founded fast-fashion retail chain known for its low-priced clothing, accessories, and home goods, operating under the Penneys brand in Ireland and Primark elsewhere in Europe and the United States.
-
C.
H&M
H&M, in this context, refers to the historic Hudson and Manhattan Railroad, an early 20th-century rapid transit system that connected Manhattan with New Jersey and served as a predecessor to today’s PATH trains.
-
D.
H&M
H&M is a global fast-fashion retail chain known for offering trendy clothing and accessories at affordable prices.
-
E.
Zara
Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7f4abd08190b47c9daff2921919 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb8bb774481908272929358817440 |
completed | May 9, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb9384b4c81909fe80dec3abc1659 |
completed | May 9, 2026, 4:34 a.m. |
Created at: April 10, 2026, 3:06 a.m.