Triple
T33284146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Directors Guild of Great Britain Award for Best Commercial Director |
E852132
|
entity |
| Predicate | presenterCountry |
P191028
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [Directors Guild of Great Britain Award for Best Commercial Director, presenterCountry, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presenterCountry Context triple: [Directors Guild of Great Britain Award for Best Commercial Director, presenterCountry, United Kingdom]
-
A.
countryOfSpeaker
Indicates that a person or group is from, associated with, or represents a particular country as a speaker.
-
B.
countryOfShow
Indicates that a show is associated with, produced in, or originates from a particular country.
-
C.
broadcasterCountry
Indicates the country from which a broadcaster operates or holds its primary broadcasting license.
-
D.
continentOfPresenter
Indicates the continent on which the presenter is based or from which the presenter originates.
-
E.
commentatorCountry
Indicates the country with which a commentator is associated, such as their nationality or the nation they represent.
- F. None of above. chosen
Provenance (4 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_69f349660ff48190a4568803d0b89941 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
| PDg | Predicate description generation | batch_69fcd866dd248190bff61c43bee93f54 |
completed | May 7, 2026, 6:22 p.m. |
Created at: May 1, 2026, 1:32 a.m.