Triple
T25507142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sidney Psalter |
E639272
|
entity |
| Predicate | partialTranslator |
P143294
|
FINISHED |
| Object | Philip Sidney |
E104529
|
NE 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: Philip Sidney | Statement: [The Sidney Psalter, partialTranslator, Philip Sidney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partialTranslator Context triple: [The Sidney Psalter, partialTranslator, Philip Sidney]
-
A.
translator
Indicates that one entity serves to convert or render content from one language or form into another for a second entity.
-
B.
laterTranslatedAs
Indicates that something was translated at a later time into a different language, form, or version under a specified title or expression.
-
C.
translationProperty
Indicates a relationship where one entity serves as a translated counterpart or translation-specific attribute of another entity.
-
D.
isTranslatedBy
chosen
Indicates that one entity serves as the translator or translating agent responsible for rendering the content of another entity into a different language or form.
-
E.
possiblyTranslatedFrom
Indicates that one item may be a translation of another, but this relationship is uncertain or not definitively established.
- F. None of above.
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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10c12839c08190b24a9fc00738ff75 |
completed | May 22, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 21, 2026, 2:47 p.m.