Triple
T10491349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Label Rouge |
E247425
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Label Rouge |
E247425
|
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: Label Rouge | Statement: [Label Rouge, fullName, Label Rouge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Label Rouge Context triple: [Label Rouge, fullName, Label Rouge]
-
A.
Label Rouge
chosen
Label Rouge is a prestigious French quality mark awarded to food and agricultural products that demonstrate superior taste and production standards compared to conventional equivalents.
-
B.
Carte Noire
Carte Noire is a French coffee brand known for its premium roasted coffee products, now owned by the Italian coffee company Lavazza.
-
C.
Gingembre Rouge
Gingembre Rouge is a fragrance and body care line by Roger & Gallet inspired by red ginger, known for its vibrant, spicy-floral scent profile.
-
D.
Madame Rouge
Madame Rouge is a shape-shifting supervillain and sometimes antihero in DC Comics, best known as a key adversary of the Doom Patrol.
-
E.
Rouge Pur Couture
Rouge Pur Couture is a luxury Yves Saint Laurent lipstick line known for its rich pigmentation, satin finish, and iconic couture-inspired packaging.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5097e1c888190bc8e039f2e46181e |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dca37b0881908ced885d9853bc1b |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:24 p.m.