Triple
T9729162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian Dennison |
E235692
|
entity |
| Predicate | debutWork |
P3278
|
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: [Julian Dennison, debutWork, Shopping]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shopping Context triple: [Julian Dennison, debutWork, 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.
Shopping for Clothes
"Shopping for Clothes" is a 1960 novelty R&B song by The Coasters, known for its humorous storytelling and spoken-word style over a catchy rhythm-and-blues backing.
-
D.
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.
-
E.
Commerce
Commerce is a city in Los Angeles County, California, known for its industrial base, rail yards, and large outlet shopping center.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eafa3a88190bc62924d94b89cd8 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afba5ec081908044a4aefdc6f9ee |
completed | April 5, 2026, 12:41 a.m. |
Created at: March 30, 2026, 8:21 p.m.