Triple
T16930047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baume & Mercier |
E410680
|
entity |
| Predicate | notableCollection |
P22
|
FINISHED |
| Object |
Hampton
Hampton is a Baume & Mercier watch collection known for its distinctive rectangular Art Deco–inspired design.
|
E1244234
|
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: Hampton | Statement: [Baume & Mercier, notableCollection, Hampton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hampton Context triple: [Baume & Mercier, notableCollection, Hampton]
-
A.
Hampton
Hampton is a suburban town in the London Borough of Richmond upon Thames, England, situated on the north bank of the River Thames.
-
B.
Hampton
Hampton is an independent coastal city in southeastern Virginia known for its historic role in early American settlement and its location at the entrance to the Chesapeake Bay.
-
C.
Hampton
Hampton is a historic coastal town in southeastern New Hampshire, known as one of the colony’s earliest settlements and now a popular beach community.
-
D.
Hampton
Hampton is a surname of English origin borne by various notable individuals, including those in the arts and public life.
-
E.
Hampton
Hampton is a suburban railway station in Melbourne, Australia, serving the bayside suburb of Hampton on the city’s Sandringham line.
- 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: Hampton Triple: [Baume & Mercier, notableCollection, Hampton]
Generated description
Hampton is a Baume & Mercier watch collection known for its distinctive rectangular Art Deco–inspired design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hampton Target entity description: Hampton is a Baume & Mercier watch collection known for its distinctive rectangular Art Deco–inspired design.
-
A.
Hampton
Hampton is a historic coastal town in southeastern New Hampshire, known as one of the colony’s earliest settlements and now a popular beach community.
-
B.
Hampton
Hampton is a surname of English origin borne by various notable individuals, including those in the arts and public life.
-
C.
Hampton
Hampton is an independent coastal city in southeastern Virginia known for its historic role in early American settlement and its location at the entrance to the Chesapeake Bay.
-
D.
Hampton
Hampton is a suburban town in the London Borough of Richmond upon Thames, England, situated on the north bank of the River Thames.
-
E.
Hampton
Hampton was a prominent 19th-century British Thoroughbred racehorse and influential sire known for producing several classic-winning offspring.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf248c6c81908fbf4d49e5381f08 |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc024d7c8190b8055833ed8908d5 |
completed | May 10, 2026, 7:26 p.m. |
| NEDg | Description generation | batch_6a0114d33cac819083d8e542ea5bc274 |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0115c583608190bf07ac205399f253 |
completed | May 10, 2026, 11:33 p.m. |
Created at: April 10, 2026, 5:30 a.m.