Triple
T8317851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgics |
E194750
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Virgil |
E37288
|
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: Virgil | Statement: [Georgics, author, Virgil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virgil Context triple: [Georgics, author, Virgil]
-
A.
Virgil
chosen
Virgil was a renowned Roman poet of the Augustan period, best known for composing the epic Aeneid, which became a cornerstone of Latin literature.
-
B.
Virgil
Virgil is the given first name of American astronaut Gus Grissom, one of NASA’s original Mercury Seven.
-
C.
Francesco de Virgilio
Francesco de Virgilio was an Italian automotive engineer best known for developing Lancia’s pioneering V6 engine architecture used in the Lancia Aurelia.
-
D.
Ennius
Ennius was an early Roman poet, often called the "father of Roman poetry," whose epic and dramatic works profoundly shaped later Latin literature.
-
E.
Statius
Statius was a prominent Roman poet of the Silver Age of Latin literature, best known for his epic "Thebaid" and his collection of occasional poems, the "Silvae."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f630ea881909fb639383e60aee9 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6f629a0819081635763192903d8 |
completed | April 2, 2026, 1:31 a.m. |
Created at: March 30, 2026, 5:55 p.m.