Triple
T37922598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O welche Lust |
E946004
|
entity |
| Predicate | basedOnLibrettoRevisionBy |
P200256
|
FINISHED |
| Object | Georg Friedrich Treitschke |
—
|
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: Georg Friedrich Treitschke | Statement: [O welche Lust, basedOnLibrettoRevisionBy, Georg Friedrich Treitschke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnLibrettoRevisionBy Context triple: [O welche Lust, basedOnLibrettoRevisionBy, Georg Friedrich Treitschke]
-
A.
librettoBy
Indicates that a work’s libretto (the text of an opera or similar vocal work) was written by a particular person.
-
B.
basedOnWorkLibrettist
Indicates that one work is based on another work specifically in terms of its libretto, identifying the source work whose libretto served as the basis.
-
C.
librettoBasedOn
Indicates that the libretto of a musical or operatic work is derived from, adapted from, or otherwise based on another pre-existing work or source.
-
D.
includesLibretto
Indicates that one entity (typically a musical or operatic work or publication) contains or is accompanied by the full text/libretto of another work.
-
E.
hasLibrettoIn
Indicates that a musical or operatic work has its libretto written in a specified language.
- F. None of above. chosen
Provenance (4 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_69f76ef2ebd88190be5229f2621070b3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff7c96e6dc8190b89554480ebcea39 |
completed | May 9, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69ff7c2381748190ad9a2176e0e478cd |
completed | May 9, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69ff7c96036c8190bfae5ec9b5a1965f |
completed | May 9, 2026, 6:27 p.m. |
Created at: May 3, 2026, 4:20 p.m.