Triple
T17330789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Sebaldus of Nuremberg |
E420807
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Sebaldus
Sebaldus is a medieval Christian saint venerated as the patron saint of Nuremberg, Germany.
|
E1262795
|
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: Sebaldus | Statement: [Saint Sebaldus of Nuremberg, alsoKnownAs, Sebaldus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sebaldus Context triple: [Saint Sebaldus of Nuremberg, alsoKnownAs, Sebaldus]
-
A.
Willibald
Willibald is the given name of the influential 18th-century opera composer Christoph Willibald Gluck.
-
B.
Johann von Wurmb
Johann von Wurmb was a Hessian officer who served in the British forces during the American Revolutionary War, noted for leading troops in several engagements against American rebels.
-
C.
Lambertus
Lambertus is a Latinized given name historically used in European contexts, particularly in religious and scholarly settings.
-
D.
Raimundus
Raimundus is a Latinized given name historically used across medieval Europe, often associated with various saints, scholars, and nobles.
-
E.
Bartholomaeus
Bartholomaeus is a Latin given name of biblical origin that serves as the root form for various later names such as Bartolomeo.
- 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: Sebaldus Triple: [Saint Sebaldus of Nuremberg, alsoKnownAs, Sebaldus]
Generated description
Sebaldus is a medieval Christian saint venerated as the patron saint of Nuremberg, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sebaldus Target entity description: Sebaldus is a medieval Christian saint venerated as the patron saint of Nuremberg, Germany.
-
A.
Willibald
Willibald is the given name of the influential 18th-century opera composer Christoph Willibald Gluck.
-
B.
Johann von Wurmb
Johann von Wurmb was a Hessian officer who served in the British forces during the American Revolutionary War, noted for leading troops in several engagements against American rebels.
-
C.
Lambertus
Lambertus is a Latinized given name historically used in European contexts, particularly in religious and scholarly settings.
-
D.
Raimundus
Raimundus is a Latinized given name historically used across medieval Europe, often associated with various saints, scholars, and nobles.
-
E.
Bartholomaeus
Bartholomaeus is a Latin given name of biblical origin that serves as the root form for various later names such as Bartolomeo.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d5c788819092bdc4d3de0ec958 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c5025d08190ab2581a3b04ae661 |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018e85c91081909a6944ff136e8f50 |
completed | May 11, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018f7ebf548190b407ebeacbd4d327 |
completed | May 11, 2026, 8:12 a.m. |
Created at: April 10, 2026, 5:43 a.m.