Triple
T29028434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junge Liebe |
E737658
|
entity |
| Predicate | pseudonymousWorkOf |
P136340
|
FINISHED |
| Object | Otto Inkermann |
—
|
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: Otto Inkermann | Statement: [Junge Liebe, pseudonymousWorkOf, Otto Inkermann]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pseudonymousWorkOf Context triple: [Junge Liebe, pseudonymousWorkOf, Otto Inkermann]
-
A.
revealedAsPseudonymIn
Indicates that one identity or name is disclosed or recognized as a pseudonym within a particular context, work, or source.
-
B.
pseudonymCoinedBy
Indicates that a particular pseudonym was created or invented by a specific agent or source.
-
C.
pseudonymOfWriter
Indicates that one entity is a pseudonym used by a writer who is represented by the other entity.
-
D.
directedUnderPseudonym
Indicates that a work was directed by a person using a pseudonym rather than their real name.
-
E.
firstPublishedUnderPseudonym
chosen
Indicates that a work’s initial publication occurred under a pseudonym rather than the creator’s real name.
- 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_69f6617ba4a88190bfc5c305acb4f93f |
completed | May 2, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 9:54 a.m.