Triple
T37558423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johan Skytte Prize |
E933751
|
entity |
| Predicate | administeredBy |
P86
|
FINISHED |
| Object |
Johan Skytte Foundation in Political Science at Uppsala University
The Johan Skytte Foundation in Political Science at Uppsala University is an academic institution dedicated to advancing research and scholarship in political science, notably through overseeing one of the discipline’s most prestigious international awards.
|
E2233056
|
NE FINISHED |
How this triple was built (2 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: Johan Skytte Foundation in Political Science at Uppsala University | Statement: [Johan Skytte Prize, administeredBy, Johan Skytte Foundation in Political Science at Uppsala University]
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: Johan Skytte Foundation in Political Science at Uppsala University Triple: [Johan Skytte Prize, administeredBy, Johan Skytte Foundation in Political Science at Uppsala University]
Generated description
The Johan Skytte Foundation in Political Science at Uppsala University is an academic institution dedicated to advancing research and scholarship in political science, notably through overseeing one of the discipline’s most prestigious international awards.
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_69f76ecb4acc8190b53f96d0b013e415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba4585b7481908fcbb2f9caae9cd8 |
completed | May 6, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a409f16541c8190b47947eefb583af7 |
completed | June 28, 2026, 4:12 a.m. |
| NEDg | Description generation | batch_6a40a1b08aec8190a4986a8d7a76a42b |
completed | June 28, 2026, 4:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40a20dda508190b4642cafb3af3b9f |
completed | June 28, 2026, 4:24 a.m. |
Created at: May 3, 2026, 4:17 p.m.