Triple
T29853251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Der Lindenbaum |
E758117
|
entity |
| Predicate | textSourceCycle |
P125249
|
FINISHED |
| Object | Wilhelm Müller’s Winterreise poems |
—
|
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: Wilhelm Müller’s Winterreise poems | Statement: [Der Lindenbaum, textSourceCycle, Wilhelm Müller’s Winterreise poems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textSourceCycle Context triple: [Der Lindenbaum, textSourceCycle, Wilhelm Müller’s Winterreise poems]
-
A.
cycleTextSource
chosen
Indicates a relationship where a text is derived from, based on, or cycles through a particular source text or source of textual content.
-
B.
textCycleTitle
Indicates the title text assigned to a particular cycle or recurring phase within a sequence or process.
-
C.
textSources
Indicates that one entity serves as a source or origin for the text content associated with another entity.
-
D.
readingsCycle
Indicates that there is a recurring or cyclical pattern in the readings associated with an entity or process.
-
E.
narrativeCycle
Indicates a recurring or structured sequence of narrative events or themes that repeat or progress in a cyclical pattern within a story or across stories.
- F. None of above.
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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67649d26481909889228a8ca1af93 |
completed | May 2, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:45 p.m.