Triple
T11859139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby Dior |
E282114
|
entity |
| Predicate | usesBrandName |
P1500
|
FINISHED |
| Object | Baby Dior |
E282114
|
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: Baby Dior | Statement: [Baby Dior, usesBrandName, Baby Dior]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baby Dior Context triple: [Baby Dior, usesBrandName, Baby Dior]
-
A.
Baby Dior
chosen
Baby Dior is the childrenswear and baby fashion line of the French luxury brand Christian Dior, offering high-end clothing and accessories for infants and young children.
-
B.
Miss Dior fragrance
Miss Dior fragrance is a classic and iconic women’s perfume by Christian Dior, celebrated for its elegant, romantic floral composition and enduring place in luxury perfumery.
-
C.
Miu Miu
Miu Miu is an Italian high-fashion brand known for its playful, avant-garde take on womenswear and accessories.
-
D.
Valentinoise
Valentinoise is the French demonym referring to a female inhabitant of the city of Valence in the Drôme department.
-
E.
Mademoiselle
Mademoiselle was a traditional French honorific title historically used to address or refer to an unmarried woman, especially in aristocratic and courtly contexts.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a69a099c8190a674db64c50eca5a |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f2816404ac81909129347607fb5fd3 |
completed | April 29, 2026, 10:08 p.m. |
Created at: April 8, 2026, 9:43 p.m.