Triple
T10004619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romee Strijd |
E198209
|
entity |
| Predicate | hasWorkedFor |
P11675
|
FINISHED |
| Object |
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.
|
E835882
|
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 Unique | Statement: [Romee Strijd, hasWorkedFor, Topshop Unique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Topshop Unique Context triple: [Romee Strijd, hasWorkedFor, Topshop Unique]
-
A.
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.
-
B.
Uniqlo
Uniqlo is a global Japanese clothing retailer known for its affordable, minimalist casual wear and functional basics.
-
C.
Zara
Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
-
D.
Zara
Zara is a character in the 1953 film noir "Pickup on South Street," involved in the story’s underworld of espionage and crime.
-
E.
Zara
Zara is a global fast-fashion retail brand known for rapidly translating runway trends into affordable clothing and accessories for a mass-market audience.
- 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 Unique Triple: [Romee Strijd, hasWorkedFor, Topshop Unique]
Generated description
Topshop Unique was the premium, runway-focused line of the British high-street fashion retailer Topshop, known for showing at London Fashion Week.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Topshop Unique Target entity description: Topshop Unique was the premium, runway-focused line of the British high-street fashion retailer Topshop, known for showing at London Fashion Week.
-
A.
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.
-
B.
Uniqlo
Uniqlo is a global Japanese clothing retailer known for its affordable, minimalist casual wear and functional basics.
-
C.
Zara
Zara is the historical Italian name for the coastal Croatian city of Zadar on the Adriatic Sea.
-
D.
Zara
Zara is a character in the 1953 film noir "Pickup on South Street," involved in the story’s underworld of espionage and crime.
-
E.
Zara
Zara is a global fast-fashion retail brand known for rapidly translating runway trends into affordable clothing and accessories for a mass-market audience.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd141ec08190b857fe7e15a8df93 |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a5058a08190b850d30ca0ee8bc8 |
completed | April 5, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69d26b6d52e8819082fed0bfdaf48e4c |
completed | April 5, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c3d5f2081909bf1a1565b66eca9 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:51 p.m.