Triple
T23606099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stick Man |
E582899
|
entity |
| Predicate | adaptationReleaseCountry |
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: [Stick Man, adaptationReleaseCountry, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptationReleaseCountry Context triple: [Stick Man, adaptationReleaseCountry, United Kingdom]
-
A.
adaptationReleaseYear
Indicates the year in which an adaptation of a work was released.
-
B.
adaptationReleasePlatform
Indicates the platform or medium on which an adaptation is released or made available.
-
C.
televisionAdaptationCountry
Indicates the country in which a television adaptation of a work was produced or primarily created.
-
D.
nationalityInAdaptation
Indicates that an entity’s nationality, as portrayed in an adaptation, is specified or differs from its original source.
-
E.
countryOfRelease
chosen
Indicates the country in which an item (such as a product, work, or media) was officially released.
- 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_69e248faa2788190abb1581742daa6aa |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0f02a4c819086453841764bef1a |
completed | April 29, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:44 p.m.