Triple
T21599373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Pevear and Larissa Volokhonsky |
E532992
|
entity |
| Predicate | alsoTranslatedFrom |
P43484
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Richard Pevear and Larissa Volokhonsky, alsoTranslatedFrom, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoTranslatedFrom Context triple: [Richard Pevear and Larissa Volokhonsky, alsoTranslatedFrom, French]
-
A.
alsoTranslatedAs
chosen
Indicates that something has an alternative translation or rendering in another language or form.
-
B.
possiblyTranslatedFrom
Indicates that one item may be a translation of another, but this relationship is uncertain or not definitively established.
-
C.
languageTranslatedFrom
Indicates that a language is the source/original language from which content has been translated into another language.
-
D.
hasTranslatedFrom
Indicates that a work or text has been translated from a specified original language or source language.
-
E.
laterTranslatedAs
Indicates that something was translated at a later time into a different language, form, or version under a specified title or expression.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae4746c819090afe1d93fe9f175 |
completed | April 27, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e632109d048190b4ac3f14fe48d1a0 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:32 p.m.