Triple
T21795739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DBApparel |
E538088
|
entity |
| Predicate | brandPortfolioIncludes |
P18121
|
FINISHED |
| Object |
Nur Die
Nur Die is a German hosiery and legwear brand known for its everyday tights, socks, and lingerie products.
|
E1502970
|
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: Nur Die | Statement: [DBApparel, brandPortfolioIncludes, Nur Die]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nur Die Context triple: [DBApparel, brandPortfolioIncludes, Nur Die]
-
A.
Nur
Nur is a minor yet pivotal character in Naguib Mahfouz’s novel "The Thief and the Dogs," serving as a sympathetic figure who offers refuge and emotional support to the fugitive protagonist, Said Mahran.
-
B.
Nur
Nur is a Turkish surname most notably borne by Rıza Nur, an influential early 20th-century Turkish politician, writer, and nationalist figure.
-
C.
Nubieber
Nubieber is a small unincorporated rural community located in northeastern California.
-
D.
Nanu
Nanu is the gruff, laid-back police officer and Dark-type specialist who serves as the Island Kahuna of Ula'ula Island in the Pokémon Sun and Moon games.
-
E.
Nuran
Nuran is a central fictional character in the Turkish novel "Huzur" by Ahmet Hamdi Tanpınar, known for her complex emotional depth and pivotal role in the story’s exploration of love and inner turmoil.
- 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: Nur Die Triple: [DBApparel, brandPortfolioIncludes, Nur Die]
Generated description
Nur Die is a German hosiery and legwear brand known for its everyday tights, socks, and lingerie products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nur Die Target entity description: Nur Die is a German hosiery and legwear brand known for its everyday tights, socks, and lingerie products.
-
A.
Nur
Nur is a minor yet pivotal character in Naguib Mahfouz’s novel "The Thief and the Dogs," serving as a sympathetic figure who offers refuge and emotional support to the fugitive protagonist, Said Mahran.
-
B.
Nur
Nur is a Turkish surname most notably borne by Rıza Nur, an influential early 20th-century Turkish politician, writer, and nationalist figure.
-
C.
Nubieber
Nubieber is a small unincorporated rural community located in northeastern California.
-
D.
Nanu
Nanu is the gruff, laid-back police officer and Dark-type specialist who serves as the Island Kahuna of Ula'ula Island in the Pokémon Sun and Moon games.
-
E.
Nuran
Nuran is a central fictional character in the Turkish novel "Huzur" by Ahmet Hamdi Tanpınar, known for her complex emotional depth and pivotal role in the story’s exploration of love and inner turmoil.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f06223ecc48190bd3b173586ea7818 |
completed | April 28, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e7e3b508190bccf7bfd6856861a |
completed | May 17, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a0a4292891c8190a9d6202faa3eeb95 |
completed | May 17, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a433f4528819099527393c5966cbb |
completed | May 17, 2026, 10:37 p.m. |
Created at: April 16, 2026, 6:53 p.m.