Triple
T10725994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VanCity |
E252947
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Hollywood North |
E51347
|
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: Hollywood North | Statement: [VanCity, relatedTo, Hollywood North]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hollywood North Context triple: [VanCity, relatedTo, Hollywood North]
-
A.
Hollywood North
chosen
Hollywood North is a popular nickname for Vancouver, Canada, reflecting its status as a major center for film and television production.
-
B.
Hollywood East
Hollywood East is a nickname for Wilmington, North Carolina, reflecting its prominence as a major film and television production hub on the U.S. East Coast.
-
C.
Academy Bay
Academy Bay is a coastal inlet on Santa Cruz Island in the Galápagos Islands, known as a hub for marine research, tourism, and access to nearby natural attractions.
-
D.
Malibu
Malibu is a popular coconut-flavored Caribbean rum liqueur widely used in tropical and mixed cocktails.
-
E.
Beverlywood
Beverlywood is a primarily residential, affluent neighborhood on the Westside of Los Angeles known for its quiet, tree-lined streets and proximity to Beverly Hills.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fc713f081909ba1d1b986c1fe5c |
completed | April 9, 2026, 2:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22848ee881908e9d89f21252ef7d |
completed | April 14, 2026, 11:18 a.m. |
Created at: April 8, 2026, 9:14 p.m.