Triple
T3428397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LVMH |
E72279
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object | Celine |
E324687
|
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: Celine | Statement: [LVMH, ownsBrand, Celine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celine Context triple: [LVMH, ownsBrand, Celine]
-
A.
Celine
chosen
Celine is a French luxury fashion house known for its minimalist, modern designs in ready-to-wear, leather goods, and accessories.
-
B.
Céline
Céline is the French given name of internationally renowned Canadian singer Céline Dion.
-
C.
Fleurie
Fleurie is a renowned Beaujolais cru appellation in eastern France, celebrated for its elegant, floral Gamay-based red wines.
-
D.
Micheline
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
-
E.
Lulu
Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb983f4608190abcc27aa7b926deb |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35478448481908e1c0f717d99f992 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.