Triple
T21577240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Der Alte |
E532427
|
entity |
| Predicate | rankInFiction |
P121402
|
FINISHED |
| Object | Kapitänleutnant |
—
|
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: Kapitänleutnant | Statement: [Der Alte, rankInFiction, Kapitänleutnant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInFiction Context triple: [Der Alte, rankInFiction, Kapitänleutnant]
-
A.
hasRankInFiction
chosen
Indicates that a fictional character or entity holds a specific rank, title, or hierarchical position within a fictional context or universe.
-
B.
positionInFiction
Indicates that one entity holds a specific role, status, or placement within a fictional work or narrative.
-
C.
eraWithinFiction
Indicates that a time period or era exists inside the narrative world or timeline of a fictional work.
-
D.
authorshipInFiction
Indicates that one entity is the creator or writer of a fictional work in which another entity appears or is represented.
-
E.
qualityInFiction
Indicates that a particular quality, trait, or characteristic is exhibited by an entity within a fictional context or 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb59cee08190aae55ad6e2a4e077 |
completed | April 27, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:31 p.m.