Triple
T21792593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | En glad Gut |
E538007
|
entity |
| Predicate | hasTitleInOriginalLanguage |
P13516
|
FINISHED |
| Object | En glad Gut |
E538007
|
NE 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: En glad Gut | Statement: [En glad Gut, hasTitleInOriginalLanguage, En glad Gut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: En glad Gut Context triple: [En glad Gut, hasTitleInOriginalLanguage, En glad Gut]
-
A.
En glad Gut
chosen
En glad Gut is a Norwegian novel by Bjørnstjerne Bjørnson that portrays rural life and the moral and emotional development of a young boy.
-
B.
Glückes genug
"Glückes genug" is one of the short, characterful piano pieces from Robert Schumann’s Kinderszenen, Op. 15, known for its gentle, contented mood.
-
C.
Die Happy
Die Happy is a Christian rock band known for its melodic hard rock sound and spiritually themed lyrics.
-
D.
Das glückliche Tal
Das glückliche Tal is a literary work by Swiss writer and journalist Annemarie Schwarzenbach, reflecting her characteristic themes of travel, identity, and existential longing.
-
E.
Gladfest
Gladfest is an annual community festival in Gladstone, Missouri, featuring family-friendly entertainment, food, and local vendors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f06220bbe0819091cf3b41aa788cc3 |
completed | April 28, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e773bd0819097e0ce7c57b05f72 |
completed | May 17, 2026, 10:17 p.m. |
Created at: April 16, 2026, 6:52 p.m.