Triple
T17695320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabella (libretto) |
E441149
|
entity |
| Predicate | characterInWork |
P12208
|
FINISHED |
| Object |
Mandryka
Mandryka is a central male character in Richard Strauss’s opera "Arabella," portrayed as a wealthy landowner and the sincere, idealistic suitor of the heroine.
|
E1329539
|
NE FINISHED |
How this triple was built (4 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: Mandryka | Statement: [Arabella (libretto), characterInWork, Mandryka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandryka Context triple: [Arabella (libretto), characterInWork, Mandryka]
-
A.
Morawa
Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
-
B.
Rakoń
Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
-
C.
Markusy
Markusy is a village in northern Poland located in the Warmian-Masurian Voivodeship.
-
D.
Jastarnia
Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
-
E.
Lutynia
Lutynia is a village in south-western Poland located within the administrative district of Gmina Miękinia in the Lower Silesian region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mandryka Triple: [Arabella (libretto), characterInWork, Mandryka]
Generated description
Mandryka is a central male character in Richard Strauss’s opera "Arabella," portrayed as a wealthy landowner and the sincere, idealistic suitor of the heroine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mandryka Target entity description: Mandryka is a central male character in Richard Strauss’s opera "Arabella," portrayed as a wealthy landowner and the sincere, idealistic suitor of the heroine.
-
A.
Morawa
Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
-
B.
Rakoń
Rakoń is a mountain peak in the Western Tatras on the Polish-Slovak border, popular with hikers for its scenic ridge views.
-
C.
Markusy
Markusy is a village in northern Poland located in the Warmian-Masurian Voivodeship.
-
D.
Jastarnia
Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
-
E.
Lutynia
Lutynia is a village in south-western Poland located within the administrative district of Gmina Miękinia in the Lower Silesian region.
- F. None of above. chosen
Provenance (5 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e471559744819080b99081c90ab614 |
completed | April 19, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049156bfa081909efced087541bcda |
completed | May 13, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_6a0492b3bb048190af9b28f3a1d89d7b |
completed | May 13, 2026, 3:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049393db308190be7428a534c83ff9 |
completed | May 13, 2026, 3:07 p.m. |
Created at: April 10, 2026, 10:04 a.m.