Triple
T19918274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moxyland |
E478720
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Tendeka
Tendeka is a central protagonist in Lauren Beukes's dystopian cyberpunk novel "Moxyland," known for his radical activism against a corporate-controlled police state.
|
E1402107
|
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: Tendeka | Statement: [Moxyland, mainCharacter, Tendeka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tendeka Context triple: [Moxyland, mainCharacter, Tendeka]
-
A.
Tendaba
Tendaba is a small riverside village in The Gambia known as a key gateway and base for visiting Kiang West National Park and its surrounding wildlife areas.
-
B.
Tentena
Tentena is a small lakeside town in Central Sulawesi, Indonesia, known as a gateway to Lake Poso and the surrounding highland scenery.
-
C.
Tencin
Tencin is a small commune in southeastern France, located in the Isère department within the French Alps.
-
D.
Takudh
Takudh is an alternative name for the Gwich’in language, an Athabaskan language spoken by the Gwich’in people of northwestern Canada and northeastern Alaska.
-
E.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
- 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: Tendeka Triple: [Moxyland, mainCharacter, Tendeka]
Generated description
Tendeka is a central protagonist in Lauren Beukes's dystopian cyberpunk novel "Moxyland," known for his radical activism against a corporate-controlled police state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tendeka Target entity description: Tendeka is a central protagonist in Lauren Beukes's dystopian cyberpunk novel "Moxyland," known for his radical activism against a corporate-controlled police state.
-
A.
Tendaba
Tendaba is a small riverside village in The Gambia known as a key gateway and base for visiting Kiang West National Park and its surrounding wildlife areas.
-
B.
Tentena
Tentena is a small lakeside town in Central Sulawesi, Indonesia, known as a gateway to Lake Poso and the surrounding highland scenery.
-
C.
Tencin
Tencin is a small commune in southeastern France, located in the Isère department within the French Alps.
-
D.
Takudh
Takudh is an alternative name for the Gwich’in language, an Athabaskan language spoken by the Gwich’in people of northwestern Canada and northeastern Alaska.
-
E.
Tahkuna
Tahkuna is a coastal settlement in northern Estonia, located on Hiiumaa Island and known for its proximity to the historic Tahkuna Lighthouse.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659c3d990819089386d9f30323e8c |
completed | April 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea52592481909419476f335b6046 |
completed | May 16, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a07f2c7dec48190a698509098479a56 |
completed | May 16, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f376f5388190989a0460528945df |
completed | May 16, 2026, 4:32 a.m. |
Created at: April 10, 2026, 1:53 p.m.