Triple
T6006364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcina |
E133719
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Alcina |
E133719
|
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: Alcina | Statement: [Alcina, featuresCharacter, Alcina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alcina Context triple: [Alcina, featuresCharacter, Alcina]
-
A.
Alcina
chosen
Alcina is a Baroque opera by George Frideric Handel, based on episodes from Ludovico Ariosto’s epic poem "Orlando Furioso" and centered on a powerful enchantress.
-
B.
Rinaldo
Rinaldo is a Baroque opera by George Frideric Handel, renowned for its virtuosic arias and dramatic portrayal of Crusader-era romance and conflict.
-
C.
Iolanta
Iolanta is a one-act lyric opera by Pyotr Ilyich Tchaikovsky that tells the story of a blind princess who discovers sight and love.
-
D.
Leonora
Leonora is a remote mining town in Western Australia’s Goldfields-Esperance region, historically significant for its goldfields and outback heritage.
-
E.
Leonora
Leonora is a feminine given name used in various cultures, often considered a variant of Eleanor or Leonore.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f128354819088971ee398cbda77 |
completed | March 22, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11365741c819097a43a49dd2428c1 |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:06 p.m.