Triple
T17609976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir David Tang |
E428940
|
entity |
| Predicate | businessVenture |
P7260
|
FINISHED |
| Object | Shanghai Tang |
—
|
NE NERFINISHED |
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: Shanghai Tang | Statement: [Sir David Tang, businessVenture, Shanghai Tang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shanghai Tang Context triple: [Sir David Tang, businessVenture, Shanghai Tang]
-
A.
Shanghai Tang
chosen
Shanghai Tang is a luxury fashion and lifestyle brand known for its modern interpretations of traditional Chinese aesthetics and craftsmanship.
-
B.
Anna Sui
Anna Sui is an American fashion designer renowned for her eclectic, vintage-inspired aesthetic and influential presence in global fashion.
-
C.
Denis of Paris
Denis of Paris is a 3rd-century Christian martyr and bishop, venerated as the patron saint of Paris and traditionally regarded as one of the city’s earliest evangelizers.
-
D.
Liu Jo
Liu Jo is an Italian fashion brand known for its contemporary women’s clothing, denim, and accessories.
-
E.
Dohema
Dohema is an alternative name for the Eudeve language, an indigenous Uto-Aztecan language historically spoken in northern Mexico.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c4e6ba48190804e113983e7c704 |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.