Triple
T26338185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kjerlighedens Gjerninger |
E662573
|
entity |
| Predicate | modernDanishTitle |
P58114
|
FINISHED |
| Object | Kærlighedens Gerninger |
—
|
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: Kærlighedens Gerninger | Statement: [Kjerlighedens Gjerninger, modernDanishTitle, Kærlighedens Gerninger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernDanishTitle Context triple: [Kjerlighedens Gjerninger, modernDanishTitle, Kærlighedens Gerninger]
-
A.
titleInNorwegian
Indicates that one entity is the title of another entity expressed in the Norwegian language.
-
B.
officialNameInDanish
Indicates the officially recognized name of an entity when expressed in the Danish language.
-
C.
modernDimension
Indicates a relationship where something is characterized by or associated with contemporary or current-era qualities, styles, or conditions.
-
D.
hasNameInDanish
chosen
Indicates that an entity is associated with a specific name expressed in the Danish language.
-
E.
titleInSwedish
Indicates that one entity is the title of another entity expressed in the Swedish language.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 26, 2026, 10:37 p.m.