Triple
T13726896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Jimmy Choos |
E329682
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | The Jimmy Choos |
E329682
|
NE FINISHED |
How this triple was built (2 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: The Jimmy Choos | Statement: [The Jimmy Choos, title, The Jimmy Choos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Jimmy Choos Context triple: [The Jimmy Choos, title, The Jimmy Choos]
-
A.
The Jimmy Choos
chosen
"The Jimmy Choos" is a pop song by American indie pop band Chester French, known for its catchy, polished sound and fashion-referencing lyrics.
-
B.
Jimmy Choo
Jimmy Choo is a luxury fashion brand best known for its high-end designer shoes, handbags, and accessories.
-
C.
Chloé
Chloé is a French luxury fashion house renowned for its feminine ready-to-wear, leather goods, and accessories.
-
D.
Chloé
Chloé is a central heroine of the ancient Greek pastoral romance "Daphnis and Chloé," known for her innocent love story with the shepherd Daphnis.
-
E.
Tory Burch
Tory Burch is an American fashion designer and businesswoman known for her eponymous lifestyle brand featuring preppy-bohemian clothing, accessories, and footwear.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f63c1c8190a7d0b84f319aa99b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a84c02e08190b8ef620575157c14 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:55 p.m.