Triple
T24857442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sur magazine |
E622064
|
entity |
| Predicate | translatedAuthorsFrom |
P160823
|
FINISHED |
| Object | English |
—
|
LITERAL FINISHED |
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: English | Statement: [Sur magazine, translatedAuthorsFrom, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translatedAuthorsFrom Context triple: [Sur magazine, translatedAuthorsFrom, English]
-
A.
translatedAuthors
Indicates that one entity has translated works originally authored by another entity.
-
B.
translatedFromName
Indicates that one entity is a translated version of another entity’s name.
-
C.
authorOfTranslation
Indicates that one entity is the person or agent who produced a translated version of a work originally created in another language.
-
D.
alsoTranslatedAs
Indicates that something has an alternative translation or rendering in another language or form.
-
E.
seeTranslatedBy
Indicates that one entity is perceived or visually recognized by another entity through a translated or mediated representation (such as subtitles, dubbing, or other translation mechanisms).
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f60ac643108190ae81561267155791 |
completed | May 2, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f606c15af88190958856a9e467b826 |
completed | May 2, 2026, 2:14 p.m. |
Created at: April 18, 2026, 5:21 a.m.