Triple
T37358378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bei Männern, welche Liebe fühlen |
E927513
|
entity |
| Predicate | operaLibrettoLanguage |
P78807
|
FINISHED |
| Object | German |
—
|
LITERAL FINISHED |
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: German | Statement: [Bei Männern, welche Liebe fühlen, operaLibrettoLanguage, German]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaLibrettoLanguage Context triple: [Bei Männern, welche Liebe fühlen, operaLibrettoLanguage, German]
-
A.
operaLanguage
Indicates the language in which an opera is written or performed.
-
B.
originalLanguageOfLibretto
chosen
Indicates the language in which a libretto was originally written for a given work.
-
C.
librettoAdaptationToLanguage
Indicates that a libretto has been adapted or translated into a specific target language.
-
D.
operaLibrettistOfAdaptation
Indicates that one entity is the librettist who wrote the text for an operatic adaptation of another work.
-
E.
librettistOfOpera
Indicates that one entity is the librettist who wrote the text (libretto) for the specified opera.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0245e917748190bf0a65db538aa66f |
completed | May 11, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_6a023f7cf7148190af5c2ea501511145 |
completed | May 11, 2026, 8:43 p.m. |
Created at: May 3, 2026, 4:16 p.m.