Triple
T29963642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Vain |
E761112
|
entity |
| Predicate | originallyReleasedInRegion |
P8709
|
FINISHED |
| Object | Europe |
—
|
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: Europe | Statement: [Mr. Vain, originallyReleasedInRegion, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyReleasedInRegion Context triple: [Mr. Vain, originallyReleasedInRegion, Europe]
-
A.
reReleasedInCountry
Indicates that a previously released work was released again in a specified country.
-
B.
countryOfFirstRelease
Indicates the country in which a work (such as a film, game, or product) was first officially released.
-
C.
originallyAiredIn
Indicates the country, region, or network where a show, episode, or broadcast was first originally aired.
-
D.
countryOfRelease
chosen
Indicates the country in which an item (such as a product, work, or media) was officially released.
-
E.
originallyProducedIn
Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
- 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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fff59a00a881909b35b799654b3c45 |
completed | May 10, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69fff4d0a2e081909c972189b33d0128 |
completed | May 10, 2026, 3 a.m. |
Created at: April 29, 2026, 6:29 p.m.