Triple
T22545853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolph Tidemand |
E557420
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Just Tidemand |
—
|
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: Just Tidemand | Statement: [Adolph Tidemand, father, Just Tidemand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Just Tidemand Context triple: [Adolph Tidemand, father, Just Tidemand]
-
A.
Just Tidemand
chosen
Just Tidemand was the father of the renowned Norwegian romantic nationalist painter Adolph Tidemand.
-
B.
Tietjens
Tietjens is a surname most notably associated with Eunice Tietjens, an American poet, journalist, and World War I correspondent.
-
C.
Merrild
Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
-
D.
Jens
Jens is a masculine given name commonly used in Scandinavian and German-speaking countries, equivalent to "John" in English.
-
E.
Jens
Jens is a small municipality in the canton of Bern in Switzerland, located within the bilingual region around the city of Biel/Bienne.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f35b9888190b4e1b50d5097b211 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.