Triple
T21116880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Uniacke |
E520321
|
entity |
| Predicate | hasClient |
P734
|
FINISHED |
| Object | Jo Malone London |
—
|
NE NERFINISHED |
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: Jo Malone London | Statement: [Rose Uniacke, hasClient, Jo Malone London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo Malone London Context triple: [Rose Uniacke, hasClient, Jo Malone London]
-
A.
Jo Malone London
chosen
Jo Malone London is a British luxury fragrance and lifestyle brand renowned for its elegant perfumes, candles, and bath products.
-
B.
Guerlain
Guerlain is a historic French luxury perfume, cosmetics, and skincare house renowned for its iconic fragrances and high-end beauty products.
-
C.
L’Occitane
L’Occitane is the nickname of the French A20 motorway, a major north–south route linking central France to the southwest.
-
D.
Yardley London
Yardley London is a historic British personal care brand best known for its classic fragrances, soaps, and talcum powders.
-
E.
Montale
Montale is one of the three historic defensive towers of San Marino, prominently featured on the country's coat of arms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72106a3b48190a0efa51a74ae21f0 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:55 p.m.