Triple
T14891059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Vuitton Watches |
E359753
|
entity |
| Predicate | hasCollection |
P426
|
FINISHED |
| Object |
Tambour
Tambour is Louis Vuitton’s signature line of luxury timepieces, known for its distinctive drum-shaped case and blend of high-end craftsmanship with contemporary design.
|
E1125842
|
NE FINISHED |
How this triple was built (4 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: Tambour | Statement: [Louis Vuitton Watches, hasCollection, Tambour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tambour Context triple: [Louis Vuitton Watches, hasCollection, Tambour]
-
A.
Tambor
Tambor is a surname most notably associated with American actor Jeffrey Tambor, known for his roles in television and film.
-
B.
Le Cornet
Le Cornet is a historic guildhall in Brussels, Belgium, known for its ornate Baroque architecture and prominent location on the Grand Place.
-
C.
Pandaul
Pandaul is a town located in the Madhubani district of the Indian state of Bihar.
-
D.
Marchin
Marchin is a municipality in the province of Liège in Wallonia, Belgium.
-
E.
Drummand
Drummand is an alternative spelling variant of the surname Drummond, which is of Scottish origin.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tambour Triple: [Louis Vuitton Watches, hasCollection, Tambour]
Generated description
Tambour is Louis Vuitton’s signature line of luxury timepieces, known for its distinctive drum-shaped case and blend of high-end craftsmanship with contemporary design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tambour Target entity description: Tambour is Louis Vuitton’s signature line of luxury timepieces, known for its distinctive drum-shaped case and blend of high-end craftsmanship with contemporary design.
-
A.
Tambor
Tambor is a surname most notably associated with American actor Jeffrey Tambor, known for his roles in television and film.
-
B.
Le Cornet
Le Cornet is a historic guildhall in Brussels, Belgium, known for its ornate Baroque architecture and prominent location on the Grand Place.
-
C.
Pandaul
Pandaul is a town located in the Madhubani district of the Indian state of Bihar.
-
D.
Marchin
Marchin is a municipality in the province of Liège in Wallonia, Belgium.
-
E.
Drummand
Drummand is an alternative spelling variant of the surname Drummond, which is of Scottish origin.
- F. None of above. chosen
Provenance (5 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f883288190af602633fa7d6860 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b61407481908a618d14c56d2abf |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6e21bdf481908dba4b745ed4be65 |
completed | May 8, 2026, 11:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6ee69860819096a2448ab813dc1d |
completed | May 8, 2026, 11:16 p.m. |
Created at: April 10, 2026, 2:10 a.m.