Triple
T27068597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James E. Irby |
E685247
|
entity |
| Predicate | languagesTranslatedFrom |
P71670
|
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: [James E. Irby, languagesTranslatedFrom, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languagesTranslatedFrom Context triple: [James E. Irby, languagesTranslatedFrom, Spanish]
-
A.
languageTranslatedFrom
chosen
Indicates that a language is the source/original language from which content has been translated into another language.
-
B.
languageOfTranslations
Indicates that one entity is the language into which another entity (such as a text or work) has been translated.
-
C.
hasTranslatedFrom
Indicates that a work or text has been translated from a specified original language or source language.
-
D.
workTranslatedFrom
Indicates that a work is a translation derived from an original work in another language.
-
E.
hasWorkTranslatedInto
Indicates that a work has been translated into a specified language or target work.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: April 27, 2026, 8:26 a.m.