Triple
T20390865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avon |
E498079
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object | Natura &Co |
—
|
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: Natura &Co | Statement: [Avon, parentCompany, Natura &Co]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natura &Co Context triple: [Avon, parentCompany, Natura &Co]
-
A.
Natura &Co
chosen
Natura &Co is a Brazilian multinational cosmetics and personal care group known for its sustainability-focused brands such as Natura, Aesop, and The Body Shop.
-
B.
L’Occitane
L’Occitane is the nickname of the French A20 motorway, a major north–south route linking central France to the southwest.
-
C.
Biotherm
Biotherm is a French skincare brand known for its use of aquatic ingredients and scientifically driven formulas for face and body care.
-
D.
Bath & Body Works
Bath & Body Works is a major American retail chain specializing in scented personal care products, candles, and home fragrances, known for its mall-based stores and seasonal collections.
-
E.
Nivea
Nivea is an American R&B singer best known for her early-2000s hits like "Don't Mess with My Man" and collaborations with prominent hip-hop artists.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790f8d9c819093038f6bb6f47a92 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.