Triple
T17338855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aeneas at Delos |
E421011
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Aeneid |
—
|
NE ONNED1 |
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: Aeneid | Statement: [Aeneas at Delos, basedOn, Aeneid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aeneid Context triple: [Aeneas at Delos, basedOn, Aeneid]
-
A.
Virgil's Aeneid
chosen
Virgil's Aeneid is a Latin epic poem that narrates the legendary journey of Aeneas from the ruins of Troy to Italy, laying a mythic foundation for the origins of Rome.
-
B.
Les Troyens
Les Troyens is a grand five-act French opera by Hector Berlioz, inspired by Virgil’s Aeneid and renowned for its epic scale and rich orchestration.
-
C.
Enneüs
Enneüs is a Dutch given name most notably borne by politician Enneüs Heerma.
-
D.
Aeneas at Delos
"Aeneas at Delos" is a 17th-century landscape painting by Claude Lorrain that depicts the mythological hero Aeneas visiting the sacred island of Delos within a luminous, idealized classical seaport setting.
-
E.
Statius' Thebaid
Statius' Thebaid is a 1st-century Latin epic poem that retells the tragic conflict between the sons of Oedipus and the war of the Seven against Thebes.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a13dd44819091d296c764976dfe |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019552a0208190bd8bd0f9588911c3 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.