Triple
T18629946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aida (character) |
E455385
|
entity |
| Predicate | loveInterestInStory |
P7325
|
FINISHED |
| Object | Radamès |
—
|
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: Radamès | Statement: [Aida (character), loveInterestInStory, Radamès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radamès Context triple: [Aida (character), loveInterestInStory, Radamès]
-
A.
Radames
chosen
Radames is the valiant Egyptian military commander and tragic lover in Giuseppe Verdi's opera "Aida."
-
B.
Goffredo
Goffredo is an Italian given name most notably borne by Goffredo Mameli, the poet and patriot who wrote the lyrics of Italy’s national anthem.
-
C.
Donatien
Donatien is the given name of Jean-Baptiste Donatien de Vimeur, comte de Rochambeau, a prominent French general who played a key role in the American Revolutionary War.
-
D.
Bélisaire
Bélisaire is an 18th-century philosophical and historical novel by Jean-François Marmontel that uses the story of the Byzantine general Belisarius to critique intolerance and advocate Enlightenment ideals.
-
E.
Kléber
Kléber is a French tire brand known for producing mid-range, reliable tires for passenger cars and light commercial vehicles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f06f4a081909b64f33814577488 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.