Triple
T29853382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Am Feierabend |
E758120
|
entity |
| Predicate | cycleSubject |
P168643
|
FINISHED |
| Object |
the miller’s love story
The miller’s love story is the narrative arc of unrequited love and emotional turmoil at the heart of Franz Schubert’s song cycle "Die schöne Müllerin."
|
E1885529
|
NE FINISHED |
How this triple was built (3 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: the miller’s love story | Statement: [Am Feierabend, cycleSubject, the miller’s love story]
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: the miller’s love story Triple: [Am Feierabend, cycleSubject, the miller’s love story]
Generated description
The miller’s love story is the narrative arc of unrequited love and emotional turmoil at the heart of Franz Schubert’s song cycle "Die schöne Müllerin."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cycleSubject Context triple: [Am Feierabend, cycleSubject, the miller’s love story]
-
A.
cycleTheme
Indicates a recurring subject, motif, or pattern that repeatedly appears or is developed across parts of a work, process, or sequence.
-
B.
cycleSubtype
Indicates that one cycle is a more specific subtype or refinement of another, more general cycle.
-
C.
cycleWith
Indicates that two or more entities participate together in a cycling activity, such as riding bicycles along the same route or at the same time.
-
D.
cycleType
Indicates the specific kind or category of cycle involved in a repeated or cyclical process or relationship.
-
E.
cycleCentralTopic
chosen
Indicates that a topic serves as the main or focal subject around which a particular cycle or recurring process is organized.
- F. None of above.
Provenance (6 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a26e61461d88190be89cf9153acee0e |
completed | June 8, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a26e6a8464c819089b0eaec5b02c4dd |
completed | June 8, 2026, 3:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a26e738bc608190a5c0ee3f74bc83ef |
completed | June 8, 2026, 4 p.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 29, 2026, 5:45 p.m.