Triple
T30843956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephanus’s Greek New Testament |
E785585
|
entity |
| Predicate | editorLatinName |
P50608
|
FINISHED |
| Object | Robertus Stephanus |
—
|
NE NERFINISHED |
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: Robertus Stephanus | Statement: [Stephanus’s Greek New Testament, editorLatinName, Robertus Stephanus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorLatinName Context triple: [Stephanus’s Greek New Testament, editorLatinName, Robertus Stephanus]
-
A.
hasLatinName
Indicates that an entity is associated with a specific Latin (scientific) name.
-
B.
IAULatinName
Indicates that an entity has the official Latin name assigned or recognized by the International Astronomical Union (IAU).
-
C.
hasLatinNameMeaning
Indicates that an entity’s Latin name conveys a specific meaning or refers to a particular concept.
-
D.
hasOfficialNameInLatin
chosen
Indicates that an entity has an official or formally recognized name expressed in the Latin language.
-
E.
eraNameLanguage
Indicates the language in which an era name is expressed or recorded.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69145041c81909275df4e885f090a |
completed | May 3, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:46 p.m.