Triple
T14509913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urs Fischer |
E340368
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Urs |
E415984
|
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: Urs | Statement: [Urs Fischer, givenName, Urs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urs Context triple: [Urs Fischer, givenName, Urs]
-
A.
Urs
chosen
Urs is a masculine given name of Germanic origin, commonly used in German-speaking and some other European countries.
-
B.
Ursy
Ursy is a municipality in the canton of Fribourg in western Switzerland, situated in the predominantly rural and French-speaking region of Glâne.
-
C.
Ursus
Ursus is a genus of large mammals in the bear family that includes species such as brown bears, polar bears, and black bears.
-
D.
Ursus
Ursus is a central character in Victor Hugo's novel "L'Homme qui rit," depicted as a cynical yet compassionate philosopher and guardian to the disfigured protagonist, Gwynplaine.
-
E.
Ursus
Ursus is a district in western Warsaw, Poland, historically known as an industrial area and a notable center of worker unrest during the communist era.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e5b7b48190878be271840c265b |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da26a308190bf86ed1edbe8d57e |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.