Triple
T32967181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epidicus |
E843399
|
entity |
| Predicate | hasManuscriptTransmission |
P18148
|
FINISHED |
| Object | medieval manuscripts of Plautus |
—
|
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: medieval manuscripts of Plautus | Statement: [Epidicus, hasManuscriptTransmission, medieval manuscripts of Plautus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManuscriptTransmission Context triple: [Epidicus, hasManuscriptTransmission, medieval manuscripts of Plautus]
-
A.
containsManuscripts
Indicates that one entity holds, includes, or has within it one or more manuscripts.
-
B.
hasManuscriptsIn
Indicates that an entity possesses or is associated with manuscripts that are located in a specified place or collection.
-
C.
areManuscriptsOf
Indicates that the subject entities are manuscripts that are versions, copies, or instances of the work represented by the object entity.
-
D.
copiedManuscriptsOf
Indicates that one entity has produced or created handwritten reproductions of the manuscripts belonging to another entity.
-
E.
manuscriptTradition
chosen
Indicates the relationship between a text and the chain of manuscript copying, transmission, and variation through which that text has been preserved and passed down.
- 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_69f3494af2808190ad98cec2f1bc0fe6 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a00b479c1588190af6e0698b7f8d7f7 |
completed | May 10, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_6a00b4158260819087d0cfad8b18cef4 |
completed | May 10, 2026, 4:36 p.m. |
Created at: May 1, 2026, 1:21 a.m.