Triple
T21809955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rénergie Yeux |
E538445
|
entity |
| Predicate | brandLine |
P64700
|
FINISHED |
| Object | Rénergie |
—
|
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: Rénergie | Statement: [Rénergie Yeux, brandLine, Rénergie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rénergie Context triple: [Rénergie Yeux, brandLine, Rénergie]
-
A.
Rénergie
chosen
Rénergie is a premium anti-aging skincare line by Lancôme known for its lifting, firming, and wrinkle-reducing treatments.
-
B.
Energie
Energie is the commonly used nickname for HC Karlovy Vary, a professional ice hockey club based in Karlovy Vary, Czech Republic.
-
C.
Energía
Energía is a 2016 reggaeton and Latin urban studio album by Colombian singer J Balvin that helped solidify his international breakthrough.
-
D.
Energetica
Energetica is an interactive exhibition at Amsterdam’s NEMO Science Museum that explores the principles and applications of sustainable energy and natural forces.
-
E.
Enerhen
Enerhen is a town in Delta State, Nigeria, situated within the Udu area of the Warri metropolitan region and known for its role in the local oil and gas economy.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc5fd948190a404a050404db975 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:53 p.m.