Triple
T15923847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chopard Happy Sport |
E386156
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Happy Sport Medium
Happy Sport Medium is a mid-sized luxury ladies’ watch from Chopard’s iconic Happy Sport collection, known for its playful floating diamonds and elegant, sporty design.
|
E1184591
|
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: Happy Sport Medium | Statement: [Chopard Happy Sport, hasVariant, Happy Sport Medium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happy Sport Medium Context triple: [Chopard Happy Sport, hasVariant, Happy Sport Medium]
-
A.
Bestsport
Bestsport is a Czech sports and entertainment management company known for operating major venues and events, including Prague’s O2 Arena.
-
B.
Kayo Sports
Kayo Sports is an Australian sports streaming service offering live and on-demand coverage of local and international sporting events.
-
C.
Bebe Sport
Bebe Sport is an American women’s fashion brand known for its trendy, body-conscious clothing and activewear.
-
D.
Chubbies Shorts
Chubbies Shorts is a casual apparel brand best known for its retro-inspired, brightly colored men's shorts and laid-back lifestyle marketing.
-
E.
Sockers
Sockers is the nickname of the San Diego Sockers, a professional indoor soccer team based in San Diego, California.
- 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: Happy Sport Medium Triple: [Chopard Happy Sport, hasVariant, Happy Sport Medium]
Generated description
Happy Sport Medium is a mid-sized luxury ladies’ watch from Chopard’s iconic Happy Sport collection, known for its playful floating diamonds and elegant, sporty design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Happy Sport Medium Target entity description: Happy Sport Medium is a mid-sized luxury ladies’ watch from Chopard’s iconic Happy Sport collection, known for its playful floating diamonds and elegant, sporty design.
-
A.
Bestsport
Bestsport is a Czech sports and entertainment management company known for operating major venues and events, including Prague’s O2 Arena.
-
B.
Kayo Sports
Kayo Sports is an Australian sports streaming service offering live and on-demand coverage of local and international sporting events.
-
C.
Bebe Sport
Bebe Sport is an American women’s fashion brand known for its trendy, body-conscious clothing and activewear.
-
D.
Chubbies Shorts
Chubbies Shorts is a casual apparel brand best known for its retro-inspired, brightly colored men's shorts and laid-back lifestyle marketing.
-
E.
Sockers
Sockers is the nickname of the San Diego Sockers, a professional indoor soccer team based in San Diego, California.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1568424f08190bffe6ee465a0db9a |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5aba70c8190a74c45bce6f9b782 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb6866e388190ad7ee4e3923bef17 |
completed | May 9, 2026, 10:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb753d1f4819096fd0a8ea7fc4a8e |
completed | May 9, 2026, 10:38 p.m. |
Created at: April 10, 2026, 4:52 a.m.