Triple
T15247008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susanna |
E364408
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object |
Sanna
Sanna is a feminine given name commonly used as a short form of Susanna in various European countries.
|
E1145646
|
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: Sanna | Statement: [Susanna, hasShortForm, Sanna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanna Context triple: [Susanna, hasShortForm, Sanna]
-
A.
Sanna
Sanna is a river in the Tyrol region of western Austria, known as a tributary of the Inn and a popular destination for whitewater sports.
-
B.
Aino
Aino is a tragic maiden from Finnish mythology and the national epic Kalevala, known for her ill-fated encounter with the sage Väinämöinen and her subsequent transformation into a water spirit.
-
C.
Sakari
Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
-
D.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
E.
Ylva
Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
- 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: Sanna Triple: [Susanna, hasShortForm, Sanna]
Generated description
Sanna is a feminine given name commonly used as a short form of Susanna in various European countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanna Target entity description: Sanna is a feminine given name commonly used as a short form of Susanna in various European countries.
-
A.
Sanna
Sanna is a river in the Tyrol region of western Austria, known as a tributary of the Inn and a popular destination for whitewater sports.
-
B.
Aino
Aino is a tragic maiden from Finnish mythology and the national epic Kalevala, known for her ill-fated encounter with the sage Väinämöinen and her subsequent transformation into a water spirit.
-
C.
Sakari
Sakari is a Finnish given name commonly used for males, derived from the biblical name Zachary.
-
D.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
E.
Ylva
Ylva is a Scandinavian female given name, traditionally associated with the meaning "she-wolf" in Old Norse.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f4f9d48190b96a7e0c6993cd69 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd491cd881908bad9660af9b6b8f |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fedf6ee3f081909553078cd3e9d243 |
completed | May 9, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee0016a088190ad87268e035f677e |
completed | May 9, 2026, 7:19 a.m. |
Created at: April 10, 2026, 3:13 a.m.