Triple
T14938838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Loves Me |
E372467
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Parfumerie |
E305214
|
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: Parfumerie | Statement: [She Loves Me, basedOn, Parfumerie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parfumerie Context triple: [She Loves Me, basedOn, Parfumerie]
-
A.
Parfumerie
chosen
Parfumerie is a 1937 romantic play by Hungarian writer Miklós László about two feuding co-workers who are unknowingly anonymous pen-pal lovers, which has inspired several film adaptations.
-
B.
Jo Malone London
Jo Malone London is a British luxury fragrance and lifestyle brand renowned for its elegant perfumes, candles, and bath 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.
Passy Perfume
Passy Perfume is a book authored by reality TV personality Farrah Abraham, known for its controversial and unconventional content.
-
E.
Profumo
Profumo is an Italian surname most famously associated with John Profumo, the British politician at the center of the 1963 Profumo affair scandal.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64904d88190b6b4140da8e8199d |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9078508190b5cbfe84125ba209 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:38 a.m.