Triple
T4836699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadie Frost |
E108075
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Shopping |
E475334
|
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: Shopping | Statement: [Sadie Frost, appearedIn, Shopping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shopping Context triple: [Sadie Frost, appearedIn, Shopping]
-
A.
Shopping
chosen
"Shopping" is a 1994 British crime thriller film, starring Sadie Frost and Jude Law, about joyriding youths who ram-raid shops for fun and profit.
-
B.
Shopping City
Shopping City is a large enclosed shopping centre in Runcorn, Cheshire, England, featuring a wide range of retail stores and services.
-
C.
Black Friday shopping
Black Friday shopping is the annual post-Thanksgiving retail event in the United States known for massive sales, doorbuster deals, and large crowds of bargain-hunting consumers.
-
D.
Commerce
Commerce is a city in Los Angeles County, California, known for its industrial base, rail yards, and large outlet shopping center.
-
E.
ShopVille
ShopVille is an underground shopping and dining complex integrated into Zurich’s main railway station, offering a wide range of retail stores and services for commuters and visitors.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce193488190a618250a5681f3ff |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67d449188190a2f02fa30aee4891 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:25 p.m.