Triple
T1698446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notting Hill |
E36711
|
entity |
| Predicate | screenplaySetting |
P20834
|
FINISHED |
| Object | contemporary London |
—
|
LITERAL 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: contemporary London | Statement: [Notting Hill, screenplaySetting, contemporary London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenplaySetting Context triple: [Notting Hill, screenplaySetting, contemporary London]
-
A.
screenplayType
Indicates the specific category or format of a screenplay associated with a work or production.
-
B.
screenplayBy
Indicates that a film, television show, or similar work was written or scripted by a particular person or group.
-
C.
placeOfSetting
chosen
Indicates the location or environment where an event, scene, or situation takes place.
-
D.
theatricalSetting
Indicates the spatial or contextual environment in which a theatrical performance or dramatic action takes place.
-
E.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
- F. None of above.
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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf169da888190b3aa334752f1952b |
completed | March 6, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69aa61b8ce348190b46154af0b041ff0 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.