Triple
T5564602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blonde |
E145850
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Alizée discography |
E27213
|
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: Alizée discography | Statement: [Blonde, isPartOf, Alizée discography]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alizée discography Context triple: [Blonde, isPartOf, Alizée discography]
-
A.
Alizée
chosen
Alizée is a French pop singer and dancer who rose to international fame in the early 2000s with her hit single "Moi... Lolita."
-
B.
Idôle
Idôle is a modern, clean, and floral fragrance line by Lancôme known for its minimalist bottle design and empowering, feminine branding.
-
C.
Celine
Celine is a French luxury fashion house known for its minimalist, modern designs in ready-to-wear, leather goods, and accessories.
-
D.
Daydé & Pillé
Daydé & Pillé was a prominent French engineering firm known for designing major steel bridges and infrastructure projects in the late 19th and early 20th centuries.
-
E.
Mylène Farmer
Mylène Farmer is a French singer-songwriter and producer renowned for her melancholic pop music, poetic lyrics, and visually striking, often controversial music videos.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02032330c819094f2bc1e8c93a5b6 |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0284525148190a7bf88c22723552a |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:36 p.m.