Triple
T25139948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermann II, Count of Celje |
E629773
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object |
Frederick II, Count of Celje
Frederick II, Count of Celje was a prominent 15th-century nobleman of the House of Celje in what is now Slovenia, known for his role in regional politics within the Holy Roman Empire and the Kingdom of Hungary.
|
E1668215
|
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: Frederick II, Count of Celje | Statement: [Hermann II, Count of Celje, successor, Frederick II, Count of Celje]
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: Frederick II, Count of Celje Triple: [Hermann II, Count of Celje, successor, Frederick II, Count of Celje]
Generated description
Frederick II, Count of Celje was a prominent 15th-century nobleman of the House of Celje in what is now Slovenia, known for his role in regional politics within the Holy Roman Empire and the Kingdom of Hungary.
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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f468475218819089b73a0d2e072110 |
completed | May 1, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a105d02862081909e976d06aa19f528 |
completed | May 22, 2026, 1:41 p.m. |
| NEDg | Description generation | batch_6a105df4d07881909cb98f27deeb0adb |
completed | May 22, 2026, 1:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a105f44a8408190b02fe5f557ea43c1 |
completed | May 22, 2026, 1:51 p.m. |
Created at: April 18, 2026, 6:29 a.m.