Triple
T122964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wear OS |
E2486
|
entity |
| Predicate | usedByManufacturer |
P5104
|
FINISHED |
| Object |
Montblanc
Montblanc is a luxury German brand renowned for its high-end writing instruments, watches, leather goods, and smartwatches.
|
E13779
|
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: Montblanc | Statement: [Wear OS, usedByManufacturer, Montblanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montblanc Context triple: [Wear OS, usedByManufacturer, Montblanc]
-
A.
Petit & Fritsen
Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
-
B.
Eastman
Eastman is a given name most notably associated with the 19th-century American painter Eastman Johnson, a co-founder of the Metropolitan Museum of Art.
-
C.
Elizabeth Arden
Elizabeth Arden was a pioneering Canadian-American businesswoman who founded the Elizabeth Arden cosmetics empire and helped shape the modern beauty industry.
-
D.
Caslon
Caslon is a casual, contemporary women's clothing and footwear brand known for its comfortable basics and everyday wardrobe staples, often sold at Nordstrom.
-
E.
Rockwell
Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
- 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: Montblanc Triple: [Wear OS, usedByManufacturer, Montblanc]
Generated description
Montblanc is a luxury German brand renowned for its high-end writing instruments, watches, leather goods, and smartwatches.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Montblanc Target entity description: Montblanc is a luxury German brand renowned for its high-end writing instruments, watches, leather goods, and smartwatches.
-
A.
Petit & Fritsen
Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
-
B.
Eastman
Eastman is a given name most notably associated with the 19th-century American painter Eastman Johnson, a co-founder of the Metropolitan Museum of Art.
-
C.
Elizabeth Arden
Elizabeth Arden was a pioneering Canadian-American businesswoman who founded the Elizabeth Arden cosmetics empire and helped shape the modern beauty industry.
-
D.
Caslon
Caslon is a casual, contemporary women's clothing and footwear brand known for its comfortable basics and everyday wardrobe staples, often sold at Nordstrom.
-
E.
Rockwell
Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a25b816dbc8190b20e13c80a451e6b |
completed | Feb. 28, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2982485348190b2b361aef7b42fc9 |
completed | Feb. 28, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69a299032e748190b8f91ff2109c40fe |
completed | Feb. 28, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a29af5cf3c8190a88b5cbabea72cc5 |
completed | Feb. 28, 2026, 7:36 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.