Triple
T23954615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partisan Productions |
E603748
|
entity |
| Predicate | locationCountryOfWork |
P146209
|
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: [Partisan Productions, locationCountryOfWork, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationCountryOfWork Context triple: [Partisan Productions, locationCountryOfWork, United Kingdom]
-
A.
countryOfEmployer
Indicates the country in which the employer of a given person or entity is based.
-
B.
workFromCountry
chosen
Indicates that an entity performs their work or job while being physically located in a specified country.
-
C.
placeOfOriginOfWork
Indicates the location where a work (such as an artwork, literary piece, or other creation) was originally produced or created.
-
D.
homeCountryForRecruiting
Indicates that a particular country is used as the primary or designated base for recruiting individuals or resources.
-
E.
countryOfExperience
Indicates that an entity has gained experience (such as work, study, or professional activity) within the specified country.
- 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_69e2954222288190a7323554d0cca8d7 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d0d616ec81908c796894f40f3015 |
completed | April 29, 2026, 9:35 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:21 p.m.