Triple
T6264536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Machine Stops |
E140380
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object |
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.
|
E582480
|
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: [The Machine Stops, protagonist, Kuno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuno Context triple: [The Machine Stops, protagonist, Kuno]
-
A.
Zuchu
Zuchu is a Tanzanian singer and songwriter known for her Bongo Flava and Afro-pop hits under the WCB Wasafi label.
-
B.
Kabuna
Kabuna is a small village located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
C.
Kikapú
Kikapú is an Algonquian language traditionally spoken by the Kickapoo people in parts of the United States and Mexico.
-
D.
Ratufa
Ratufa is a genus of large, colorful Old World giant squirrels native to the forests of South and Southeast Asia.
-
E.
Kugu
Kugu is an Aboriginal Australian language group traditionally associated with the Aurukun region of western Cape York Peninsula in Queensland.
- 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: [The Machine Stops, protagonist, Kuno]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kuno Target entity description: 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.
-
A.
Zuchu
Zuchu is a Tanzanian singer and songwriter known for her Bongo Flava and Afro-pop hits under the WCB Wasafi label.
-
B.
Kabuna
Kabuna is a small village located on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
C.
Kikapú
Kikapú is an Algonquian language traditionally spoken by the Kickapoo people in parts of the United States and Mexico.
-
D.
Ratufa
Ratufa is a genus of large, colorful Old World giant squirrels native to the forests of South and Southeast Asia.
-
E.
Kugu
Kugu is an Aboriginal Australian language group traditionally associated with the Aurukun region of western Cape York Peninsula in Queensland.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0638c43808190a375e9f29f2b2138 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51932e704819083e1ed17a86f6b5e |
completed | March 26, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69c52ced35ec8190ab35f5ceb50d9305 |
completed | March 26, 2026, 12:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5847a09c48190887f1d0071e9c591 |
completed | March 26, 2026, 7:09 p.m. |
Created at: March 22, 2026, 4:25 p.m.