Triple
T23301369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ragnar Granit |
E590312
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Granit
Granit is a surname most notably associated with Ragnar Granit, the Nobel Prize–winning Finnish-Swedish neurophysiologist recognized for his work on the physiology of vision.
|
E1580266
|
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: Granit | Statement: [Ragnar Granit, familyName, Granit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Granit Context triple: [Ragnar Granit, familyName, Granit]
-
A.
Granitza
Granitza is a town that is officially twinned with Ansfelden, Austria, as part of a cultural and municipal partnership.
-
B.
Elmas
Elmas is a town in southern Sardinia, Italy, known for hosting Cagliari’s main international airport.
-
C.
Gebel Elba granite massif
The Gebel Elba granite massif is a prominent mountainous rock formation in southeastern Egypt that forms the core of the Gebel Elba region, supporting unique biodiversity and distinctive desert ecosystems.
-
D.
Agger
Agger is a river in North Rhine-Westphalia, Germany, known as a tributary of the Sieg.
-
E.
Kamena Gora
Kamena Gora is a scenic mountain village and plateau in southwestern Serbia, known for its old-growth pine forests, panoramic views, and traditional rural architecture.
- 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: Granit Triple: [Ragnar Granit, familyName, Granit]
Generated description
Granit is a surname most notably associated with Ragnar Granit, the Nobel Prize–winning Finnish-Swedish neurophysiologist recognized for his work on the physiology of vision.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Granit Target entity description: Granit is a surname most notably associated with Ragnar Granit, the Nobel Prize–winning Finnish-Swedish neurophysiologist recognized for his work on the physiology of vision.
-
A.
Granitza
Granitza is a town that is officially twinned with Ansfelden, Austria, as part of a cultural and municipal partnership.
-
B.
Elmas
Elmas is a town in southern Sardinia, Italy, known for hosting Cagliari’s main international airport.
-
C.
Gebel Elba granite massif
The Gebel Elba granite massif is a prominent mountainous rock formation in southeastern Egypt that forms the core of the Gebel Elba region, supporting unique biodiversity and distinctive desert ecosystems.
-
D.
Agger
Agger is a river in North Rhine-Westphalia, Germany, known as a tributary of the Sieg.
-
E.
Kamena Gora
Kamena Gora is a scenic mountain village and plateau in southwestern Serbia, known for its old-growth pine forests, panoramic views, and traditional rural architecture.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d37fd08190ad2d199c54324c02 |
completed | April 29, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c9730908190960a47f7fee9e0c2 |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4ee292f08190a44326d433f37c65 |
completed | May 19, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4f796b688190a8971ebd238e08f2 |
completed | May 19, 2026, 11:54 a.m. |
Created at: April 17, 2026, 5:04 p.m.