Triple
T675412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Kardashian |
E13066
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | KKW Fragrance |
E83326
|
NE FINISHED |
How this triple was built (2 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: KKW Fragrance | Statement: [Kim Kardashian, notableWork, KKW Fragrance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KKW Fragrance Context triple: [Kim Kardashian, notableWork, KKW Fragrance]
-
A.
KKW Beauty
chosen
KKW Beauty is a cosmetics brand founded by media personality Kim Kardashian, known for its contouring products, neutral-toned palettes, and social media–driven marketing.
-
B.
Red Door fragrance
Red Door fragrance is a classic, signature women’s perfume by Elizabeth Arden, known for its elegant, floral-oriental scent and association with timeless glamour.
-
C.
Kiehl's
Kiehl's is an American skincare and cosmetics brand known for its apothecary-style stores and science-driven formulations.
-
D.
Dolce & Gabbana "The One" fragrance
Dolce & Gabbana "The One" fragrance is a popular luxury perfume line known for its warm, sensual oriental-floral scent and glamorous, sophisticated image.
-
E.
GWW
GWW is the IATA airport code for Gatow Airfield, a former military airfield in Berlin, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0266e7c8190a94c4b4b761c59f4 |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dc9f5f7c8190a766c6b545d1abd8 |
completed | March 2, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:36 p.m.