Triple
T5564177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moi... Lolita |
E145839
|
entity |
| Predicate | partOfAlbum |
P35
|
FINISHED |
| Object | Gourmandises |
E145840
|
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: Gourmandises | Statement: [Moi... Lolita, partOfAlbum, Gourmandises]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gourmandises Context triple: [Moi... Lolita, partOfAlbum, Gourmandises]
-
A.
Gourmandises
chosen
Gourmandises is the debut studio album by French pop singer Alizée, known for its catchy electronic pop sound and international hit singles.
-
B.
Doux
Doux is the sweetest style of Champagne, characterized by a high sugar content that gives it a rich, dessert-like taste.
-
C.
Soubise
Soubise is a historic French seigneurial domain and title, most notably linked to the noble House of Rohan and the princes who bore its name.
-
D.
Le Gâteau
Le Gâteau is one of the short prose poems in Charles Baudelaire’s collection *Le Spleen de Paris*, exemplifying his exploration of modern urban life and existential melancholy.
-
E.
Les Bouchères
Les Bouchères is a named vineyard climat in the Meursault appellation of Burgundy, France, known for producing high-quality Chardonnay wines.
- 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_69c04d0ca0088190a5d63139ba194e8e |
completed | March 22, 2026, 8:11 p.m. |
Created at: March 22, 2026, 3:36 p.m.