Triple
T6591910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Maynard Hutchins |
E148381
|
entity |
| Predicate | languageTranslatedFrom |
P71670
|
FINISHED |
| Object | Arabic |
—
|
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: Arabic | Statement: [William Maynard Hutchins, languageTranslatedFrom, Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageTranslatedFrom Context triple: [William Maynard Hutchins, languageTranslatedFrom, Arabic]
-
A.
workTranslatedFrom
Indicates that a work is a translation derived from an original work in another language.
-
B.
translationSource
Indicates that one entity serves as the original text or content from which another entity is translated.
-
C.
translationTargetLanguage
Indicates the language into which content is being or has been translated.
-
D.
languageOfTranslations
Indicates that one entity is the language into which another entity (such as a text or work) has been translated.
-
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. 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c07bb434819096ec3e3b966042a5 |
completed | March 27, 2026, 5:38 p.m. |
Created at: March 27, 2026, 1:55 p.m.