Triple
T9221741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuno von Bayern |
E221576
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kuno
Kuno is a masculine given name of German origin, historically borne by various nobles and notable figures in German-speaking regions.
|
E784896
|
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: Kuno | Statement: [Kuno von Bayern, givenName, Kuno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuno Context triple: [Kuno von Bayern, givenName, Kuno]
-
A.
Kuno
Kuno is the rebellious central character in E.M. Forster’s dystopian science fiction story "The Machine Stops," who challenges the oppressive, technology-dependent society in which he lives.
-
B.
Zuchu
Zuchu is a Tanzanian singer and songwriter known for her Bongo Flava and Afro-pop hits under the WCB Wasafi label.
-
C.
Kabuna
Kabuna is a small village located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
D.
Kikapú
Kikapú is an Algonquian language traditionally spoken by the Kickapoo people in parts of the United States and Mexico.
-
E.
Ratufa
Ratufa is a genus of large, colorful Old World giant squirrels native to the forests of South and Southeast Asia.
- 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: Kuno Triple: [Kuno von Bayern, givenName, Kuno]
Generated description
Kuno is a masculine given name of German origin, historically borne by various nobles and notable figures in German-speaking regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuno Target entity description: Kuno is a masculine given name of German origin, historically borne by various nobles and notable figures in German-speaking regions.
-
A.
Kuno
Kuno is the rebellious central character in E.M. Forster’s dystopian science fiction story "The Machine Stops," who challenges the oppressive, technology-dependent society in which he lives.
-
B.
Zuchu
Zuchu is a Tanzanian singer and songwriter known for her Bongo Flava and Afro-pop hits under the WCB Wasafi label.
-
C.
Kabuna
Kabuna is a small village located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
D.
Kikapú
Kikapú is an Algonquian language traditionally spoken by the Kickapoo people in parts of the United States and Mexico.
-
E.
Ratufa
Ratufa is a genus of large, colorful Old World giant squirrels native to the forests of South and Southeast Asia.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda76e3648190af9e24381db7679a |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d066384a908190b833d4ae5b3c5074 |
completed | April 4, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_69d06771ba808190a7b10f664425e76e |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d068087ab881908edcfd384a2e3f07 |
completed | April 4, 2026, 1:23 a.m. |
Created at: March 30, 2026, 7:28 p.m.