Triple
T29028016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italienisches Liederbuch |
E737648
|
entity |
| Predicate | textAdaptationBy |
P21946
|
FINISHED |
| Object | Paul Heyse |
—
|
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: Paul Heyse | Statement: [Italienisches Liederbuch, textAdaptationBy, Paul Heyse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textAdaptationBy Context triple: [Italienisches Liederbuch, textAdaptationBy, Paul Heyse]
-
A.
textAdapter
Indicates a relationship where one entity converts, formats, or adapts text from one form or context to another for use by a different component or system.
-
B.
textBy
Indicates that a given text or written content was authored or produced by a particular entity.
-
C.
adaptationStyle
Indicates how an entity adjusts or modifies its behavior, form, or strategy in response to changing conditions or influences.
-
D.
adaptationBy
chosen
Indicates a relationship where one entity has been modified, transformed, or reworked by another entity into a new form or version.
-
E.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6600bfbf081909eb61c47571e0277 |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 9:53 a.m.