Triple
T5842510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kering |
E129626
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Boucheron
Boucheron is a historic French luxury jewelry and watchmaking house renowned for its high-end, artistic designs and craftsmanship.
|
E549695
|
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: Boucheron | Statement: [Kering, owns, Boucheron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boucheron Context triple: [Kering, owns, Boucheron]
-
A.
Chaumet
Chaumet is a historic French high jewelry and watchmaking house renowned for its exquisite tiaras and fine craftsmanship.
-
B.
Van Cleef & Arpels
Van Cleef & Arpels is a renowned French luxury jewelry, watch, and perfume house celebrated for its high-end craftsmanship and iconic, poetic designs.
-
C.
Chopard
Chopard is a Swiss luxury watch and jewelry manufacturer renowned for its high-end timepieces, fine jewelry, and long-standing association with prestigious events like the Cannes Film Festival.
-
D.
Cartier
Cartier is a renowned French luxury jewelry and watchmaker celebrated worldwide for its high-end timepieces, fine jewelry, and iconic designs.
-
E.
Baume & Mercier
Baume & Mercier is a Swiss luxury watchmaking brand known for its elegant, classic timepieces and long horological heritage.
- 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: Boucheron Triple: [Kering, owns, Boucheron]
Generated description
Boucheron is a historic French luxury jewelry and watchmaking house renowned for its high-end, artistic designs and craftsmanship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boucheron Target entity description: Boucheron is a historic French luxury jewelry and watchmaking house renowned for its high-end, artistic designs and craftsmanship.
-
A.
Chaumet
Chaumet is a historic French high jewelry and watchmaking house renowned for its exquisite tiaras and fine craftsmanship.
-
B.
Van Cleef & Arpels
Van Cleef & Arpels is a renowned French luxury jewelry, watch, and perfume house celebrated for its high-end craftsmanship and iconic, poetic designs.
-
C.
Chopard
Chopard is a Swiss luxury watch and jewelry manufacturer renowned for its high-end timepieces, fine jewelry, and long-standing association with prestigious events like the Cannes Film Festival.
-
D.
Cartier
Cartier is a renowned French luxury jewelry and watchmaker celebrated worldwide for its high-end timepieces, fine jewelry, and iconic designs.
-
E.
Baume & Mercier
Baume & Mercier is a Swiss luxury watchmaking brand known for its elegant, classic timepieces and long horological heritage.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034d9da0c8190970319d0dc2fc73f |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1a2506481908a3e638c1121bfd0 |
completed | March 23, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69c0a27765688190b02a1b0cd39a87fe |
completed | March 23, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a2fd7ec081909033994e5556a6ae |
completed | March 23, 2026, 2:18 a.m. |
Created at: March 22, 2026, 3:54 p.m.