Triple
T21151159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renaud |
E521190
|
entity |
| Predicate | enchantedBy |
P46127
|
FINISHED |
| Object | Armida |
—
|
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: Armida | Statement: [Renaud, enchantedBy, Armida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armida Context triple: [Renaud, enchantedBy, Armida]
-
A.
Armida
chosen
Armida is an enchantress from Torquato Tasso’s epic poem "Jerusalem Delivered," known for seducing the crusader Rinaldo and embodying the conflict between love and duty.
-
B.
Amorina
Amorina is a 19th-century Swedish novel by Carl Jonas Love Almqvist, known for its romantic and psychological depth within early modern Swedish literature.
-
C.
Shehera
Shehera is a town located in the Panchmahal district of the Indian state of Gujarat.
-
D.
Gurandukht
Gurandukht was a medieval Georgian noblewoman and queen consort, known primarily as the wife of King David IV "the Builder" of Georgia.
-
E.
Gurandukht
Gurandukht was a medieval Cuman princess known from Georgian and regional Caucasian historical sources, often mentioned in the context of dynastic and political alliances.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72401830c8190a2008c40c4174d97 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:58 p.m.