Triple
T38523062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Friedrich of Hohenzollern-Sigmaringen |
E922544
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Prince Maximilian of Hohenzollern
Prince Maximilian of Hohenzollern is a German nobleman and businessman from the former ruling Hohenzollern-Sigmaringen family, known for his role in managing the family’s estates and corporate interests.
|
E2285098
|
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: Prince Maximilian of Hohenzollern | Statement: [Prince Friedrich of Hohenzollern-Sigmaringen, child, Prince Maximilian of Hohenzollern]
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: Prince Maximilian of Hohenzollern Triple: [Prince Friedrich of Hohenzollern-Sigmaringen, child, Prince Maximilian of Hohenzollern]
Generated description
Prince Maximilian of Hohenzollern is a German nobleman and businessman from the former ruling Hohenzollern-Sigmaringen family, known for his role in managing the family’s estates and corporate interests.
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_69f76ea5f5588190bd0b28c82e975640 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd2952a548190960fc56d8388a838 |
completed | May 7, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a44c768932c8190b0199ce47268a47f |
completed | July 1, 2026, 7:53 a.m. |
| NEDg | Description generation | batch_6a44c83089648190a42c95bad65f6d7d |
completed | July 1, 2026, 7:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a44c91500ac8190873ba9dbe613fb3e |
completed | July 1, 2026, 8 a.m. |
Created at: May 3, 2026, 4:32 p.m.