Triple
T4943821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augustan age |
E110998
|
entity |
| Predicate | hasMainWork |
P46235
|
FINISHED |
| Object | Amores |
E211800
|
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: Amores | Statement: [Augustan age, hasMainWork, Amores]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amores Context triple: [Augustan age, hasMainWork, Amores]
-
A.
Amores
chosen
Amores is a collection of Latin love elegies by the Roman poet Ovid that playfully explore themes of romance, desire, and poetic artistry.
-
B.
Amor
Amor is the personification of love in Christoph Willibald Gluck’s opera "Orphée et Eurydice," often depicted as a divine figure guiding the fate of the lovers.
-
C.
Mis Romances
Mis Romances is a studio album by Mexican singer Luis Miguel that continues his series of romantic bolero recordings.
-
D.
Honor et Amor
Honor et Amor is the Latin family motto of the Carnegie family, expressing the values of honor and love.
-
E.
Two Lovers
Two Lovers is a 2008 romantic drama film directed by James Gray that follows a troubled man torn between a stable relationship and a passionate but complicated affair.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd716520f08190862249efb2058fd4 |
completed | March 20, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77c6566c8190b0c76c05b9d82053 |
completed | March 21, 2026, 10:49 a.m. |
Created at: March 20, 2026, 1:31 p.m.