Triple
T9672989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silvan Zurbriggen |
E234073
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Silvan
Silvan is a masculine given name of Latin origin, commonly used in German-speaking countries and derived from the word for "forest" or "woods."
|
E813954
|
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: Silvan | Statement: [Silvan Zurbriggen, givenName, Silvan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silvan Context triple: [Silvan Zurbriggen, givenName, Silvan]
-
A.
Silvi
Silvi is a Spanish diminutive form of the given name Silvia, typically used as an affectionate or informal nickname.
-
B.
Silvi
Silvi is a coastal municipality in the Abruzzo region of central Italy, known for its Adriatic beaches and tourism.
-
C.
Silay
Silay is a heritage-rich city in the Philippine province of Negros Occidental, known for its well-preserved ancestral houses and cultural history.
-
D.
Syrdon
Syrdon is a cunning and often mischievous trickster figure from the Caucasian Nart sagas, known for his wit, guile, and disruptive antics among the Nart heroes.
-
E.
Sirion
Sirion is one of the greatest rivers of Middle-earth in J.R.R. Tolkien’s legendarium, flowing from the northern regions of Beleriand to the sea and playing a central role in many events of the First Age.
- 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: Silvan Triple: [Silvan Zurbriggen, givenName, Silvan]
Generated description
Silvan is a masculine given name of Latin origin, commonly used in German-speaking countries and derived from the word for "forest" or "woods."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silvan Target entity description: Silvan is a masculine given name of Latin origin, commonly used in German-speaking countries and derived from the word for "forest" or "woods."
-
A.
Silvi
Silvi is a Spanish diminutive form of the given name Silvia, typically used as an affectionate or informal nickname.
-
B.
Silvi
Silvi is a coastal municipality in the Abruzzo region of central Italy, known for its Adriatic beaches and tourism.
-
C.
Silay
Silay is a heritage-rich city in the Philippine province of Negros Occidental, known for its well-preserved ancestral houses and cultural history.
-
D.
Syrdon
Syrdon is a cunning and often mischievous trickster figure from the Caucasian Nart sagas, known for his wit, guile, and disruptive antics among the Nart heroes.
-
E.
Sirion
Sirion is one of the greatest rivers of Middle-earth in J.R.R. Tolkien’s legendarium, flowing from the northern regions of Beleriand to the sea and playing a central role in many events of the First Age.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6aa01c819083fc758470096ec2 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a2d030c8190ada52e855bc9afc8 |
completed | April 4, 2026, 10:01 p.m. |
| NEDg | Description generation | batch_69d18bf051448190aaa3a7198c23fd39 |
completed | April 4, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18c8783f08190858681b51096fe56 |
completed | April 4, 2026, 10:11 p.m. |
Created at: March 30, 2026, 8:15 p.m.