Triple
T10393979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristina från Duvemåla |
E244959
|
entity |
| Predicate | hasMusicalNumber |
P20452
|
FINISHED |
| Object | Hemma |
E826908
|
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: Hemma | Statement: [Kristina från Duvemåla, hasMusicalNumber, Hemma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hemma Context triple: [Kristina från Duvemåla, hasMusicalNumber, Hemma]
-
A.
Hemma
chosen
Hemma was a 9th-century Frankish noblewoman of the Carolingian dynasty, best known as the mother of Emperor Charles the Fat.
-
B.
Hemkade
Hemkade is a waterfront area near Amsterdam known for its industrial setting and event venues, accessible via the city's ferry network.
-
C.
Demme
Demme is the surname of Jonathan Demme, the acclaimed American film director known for works such as "The Silence of the Lambs" and "Philadelphia."
-
D.
Emmen
Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
-
E.
Emme
Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9b795fc8190aa50ce3c7360ff83 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795c8271c81908a6b67822050c06d |
completed | April 9, 2026, 12:04 p.m. |
Created at: April 6, 2026, 12:06 p.m.