Triple
T6716252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salomon Bochner |
E153275
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Salomon
Salomon is a given name of Hebrew origin commonly used in various European and Jewish communities, related to the name Solomon.
|
E613402
|
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: Salomon | Statement: [Salomon Bochner, givenName, Salomon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salomon Context triple: [Salomon Bochner, givenName, Salomon]
-
A.
K2 Sports
K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
-
B.
Superga
Superga is a hill near Turin in northern Italy best known for the Basilica of Superga, a major example of Piedmontese Baroque architecture and the site of the 1949 Torino football team air disaster.
-
C.
Birks
Birks is the distinctive middle name of legendary American jazz trumpeter and bebop pioneer Dizzy Gillespie.
-
D.
Helly Hansen
Helly Hansen is a Norwegian brand known for its professional-grade outdoor, sailing, and workwear apparel and gear.
-
E.
Timberland
Timberland is an American outdoor lifestyle brand best known for its rugged waterproof boots and durable apparel.
- 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: Salomon Triple: [Salomon Bochner, givenName, Salomon]
Generated description
Salomon is a given name of Hebrew origin commonly used in various European and Jewish communities, related to the name Solomon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salomon Target entity description: Salomon is a given name of Hebrew origin commonly used in various European and Jewish communities, related to the name Solomon.
-
A.
K2 Sports
K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
-
B.
Superga
Superga is a hill near Turin in northern Italy best known for the Basilica of Superga, a major example of Piedmontese Baroque architecture and the site of the 1949 Torino football team air disaster.
-
C.
Birks
Birks is the distinctive middle name of legendary American jazz trumpeter and bebop pioneer Dizzy Gillespie.
-
D.
Helly Hansen
Helly Hansen is a Norwegian brand known for its professional-grade outdoor, sailing, and workwear apparel and gear.
-
E.
Timberland
Timberland is an American outdoor lifestyle brand best known for its rugged waterproof boots and durable apparel.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d125db3c8190aad28919226a16da |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700993128819081614ccfa68d7320 |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c70262f3e48190b544be536ee0b674 |
completed | March 27, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70311418c8190a902cf21187fdc51 |
completed | March 27, 2026, 10:22 p.m. |
Created at: March 27, 2026, 2:07 p.m.