Triple
T33775848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reg Speaks |
E865513
|
entity |
| Predicate | countryOfWorkRelease |
P8709
|
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: [Reg Speaks, countryOfWorkRelease, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfWorkRelease Context triple: [Reg Speaks, countryOfWorkRelease, United Kingdom]
-
A.
productionCountryOfWorkAppearsIn
Indicates that a country is the production country of a work in which a given entity appears.
-
B.
countryOfRelease
chosen
Indicates the country in which an item (such as a product, work, or media) was officially released.
-
C.
publisherCountryOfWork
Indicates the country where the publisher of a given work is based or operates.
-
D.
appearsInWorkCountryOfOrigin
Indicates that an entity appears in a work whose country of origin is the specified country.
-
E.
countryOfCinematicActivity
Indicates the country in which a person or entity is primarily active or recognized in the field of cinema.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00d6aff0a08190a330dd0c7c1352f9 |
completed | May 10, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_6a00d60f2a508190aeaf5a9d8af9c39e |
completed | May 10, 2026, 7:01 p.m. |
Created at: May 1, 2026, 1:45 a.m.