Triple
T1924776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Münster |
E40803
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Liudger
Liudger was a medieval Frisian missionary and the first bishop of Münster, known for his role in Christianizing parts of northern Germany.
|
E215540
|
NE FINISHED |
How this triple was built (4 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: [Münster, foundedBy, Liudger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liudger Context triple: [Münster, foundedBy, Liudger]
-
A.
Odilon
Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
-
B.
Adolphe
Adolphe is the given name of Jean-Charles Adolphe Alphand, a prominent 19th-century French engineer known for designing many of Paris’s parks and boulevards.
-
C.
Ulrich
Ulrich is a masculine given name of Germanic origin, commonly used in German-speaking countries and historically borne by nobles, scholars, and religious figures.
-
D.
Louiguy
Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
-
E.
Guignard
Guignard was a prominent Brazilian painter and art educator known for his lyrical landscapes and significant influence on modern Brazilian art.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Liudger Triple: [Münster, foundedBy, Liudger]
Generated description
Liudger was a medieval Frisian missionary and the first bishop of Münster, known for his role in Christianizing parts of northern Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liudger Target entity description: Liudger was a medieval Frisian missionary and the first bishop of Münster, known for his role in Christianizing parts of northern Germany.
-
A.
Odilon
Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
-
B.
Adolphe
Adolphe is the given name of Jean-Charles Adolphe Alphand, a prominent 19th-century French engineer known for designing many of Paris’s parks and boulevards.
-
C.
Ulrich
Ulrich is a masculine given name of Germanic origin, commonly used in German-speaking countries and historically borne by nobles, scholars, and religious figures.
-
D.
Louiguy
Louiguy was a French composer best known for co-writing the iconic chanson "La Vie en rose," popularized by Édith Piaf.
-
E.
Guignard
Guignard was a prominent Brazilian painter and art educator known for his lyrical landscapes and significant influence on modern Brazilian art.
- F. None of above. chosen
Provenance (5 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb260da088190ac53bfc9437e112b |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3e881748190b00f125185e91271 |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf494f0288190bf77285d18fcd3d9 |
completed | March 8, 2026, 10:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf51f49488190b9b0465b4da685c1 |
completed | March 8, 2026, 10:15 p.m. |
Created at: March 4, 2026, 7:35 p.m.