Triple
T21027795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Caistor |
E517983
|
entity |
| Predicate | hasTranslatedFrom |
P142528
|
FINISHED |
| Object | Spanish |
—
|
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: Spanish | Statement: [Nick Caistor, hasTranslatedFrom, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTranslatedFrom Context triple: [Nick Caistor, hasTranslatedFrom, Spanish]
-
A.
hasTranslated
Indicates that one entity has rendered the content of another entity from one language into a different language.
-
B.
possiblyTranslatedFrom
Indicates that one item may be a translation of another, but this relationship is uncertain or not definitively established.
-
C.
hasWorkTranslatedInto
Indicates that a work has been translated into a specified language or target work.
-
D.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
E.
hasTranslatedMeaning
Indicates that one entity expresses the meaning of another entity in a different language through translation.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7efda081909a4de1c389166bf2 |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:55 p.m.