Triple
T21265398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canto IV (Ruslan and Ludmila) |
E524111
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Farlaf |
—
|
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: Farlaf | Statement: [Canto IV (Ruslan and Ludmila), featuresCharacter, Farlaf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farlaf Context triple: [Canto IV (Ruslan and Ludmila), featuresCharacter, Farlaf]
-
A.
Farlaf
chosen
Farlaf is a cowardly and treacherous character in Alexander Pushkin’s narrative poem "Ruslan and Ludmila," known for betraying the hero Ruslan out of jealousy.
-
B.
Fargus
Fargus is a central playable character in the comedic fantasy action-platformer game Pandemonium!, known for his quirky personality and magical abilities.
-
C.
Ferike
Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
-
D.
Triffyn Farfog
Triffyn Farfog was an early medieval Welsh king traditionally associated with ruling Dyfed and featuring in the genealogies of Welsh royalty.
-
E.
Farst
Farst is a small alpine settlement in the municipality of Umhausen in the Tyrolean Ötztal region of Austria, known for its traditional mountain farming and scenic views.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735ebe09081909f74301e91b4d3d7 |
completed | April 21, 2026, 8:31 a.m. |
Created at: April 16, 2026, 4 p.m.