Triple
T9013656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liudger |
E215540
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Liudger |
E215540
|
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: Liudger | Statement: [Liudger, givenName, Liudger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liudger Context triple: [Liudger, givenName, Liudger]
-
A.
Liudger
chosen
Liudger was a medieval Frisian missionary and the first bishop of Münster, known for his role in Christianizing parts of northern Germany.
-
B.
Lindorf
Lindorf is a sinister, manipulative antagonist in Offenbach’s opera "The Tales of Hoffmann," embodying one of the forces that thwart the poet Hoffmann’s romantic pursuits.
-
C.
Aegidius
Aegidius is the Latin name of Saint Giles, a popular medieval Christian hermit and patron saint associated especially with the disabled and beggars.
-
D.
Rol-Tanguy
Rol-Tanguy was a prominent French Resistance leader during World War II, best known for his role in organizing and leading the liberation of Paris in 1944.
-
E.
Matthias Zumtaugwald
Matthias Zumtaugwald was a 19th-century Swiss mountain guide and climber known for participating in the first ascent of Dufourspitze, the highest peak in Switzerland.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69f96980819093bfc49d48570c65 |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdba4bfd481908a5f33d39b8e7dd5 |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:06 p.m.