Triple
T13180455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ursula |
E313707
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Ulla |
E475598
|
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: Ulla | Statement: [Ursula, hasDiminutive, Ulla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulla Context triple: [Ursula, hasDiminutive, Ulla]
-
A.
Ulla
Ulla is a river that serves as a tributary of the Dzvina (Western Dvina) in Eastern Europe.
-
B.
Ulla
chosen
Ulla is the glamorous, Swedish bombshell secretary and aspiring actress character in the musical comedy "The Producers."
-
C.
Aulla
Aulla is a small historic town in northern Tuscany, Italy, known for its medieval fortifications and strategic location in the Lunigiana region.
-
D.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
E.
Unna
Unna is a town in the German state of North Rhine-Westphalia, known historically as a regional trading center near Dortmund.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c490ed081908ea54edb25c3de90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5ee66188190afb75a598a2f8211 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:14 p.m.