Triple
T12901662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kazon |
E308624
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object |
Kazon language
The Kazon language is a constructed alien tongue spoken by the Kazon species in the Star Trek universe, characterized by its harsh phonetics and use in inter-faction communication and conflict.
|
E1008841
|
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: Kazon language | Statement: [Kazon, language, Kazon language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kazon language Context triple: [Kazon, language, Kazon language]
-
A.
Keiga language
The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
-
B.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
C.
Teke-Kega language
The Teke-Kega language is a Bantu language spoken by the Teke people of Central Africa, primarily in the Republic of the Congo and surrounding regions.
-
D.
Kiga language
The Kiga language is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda.
-
E.
Aka-Bea language
The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
- 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: Kazon language Triple: [Kazon, language, Kazon language]
Generated description
The Kazon language is a constructed alien tongue spoken by the Kazon species in the Star Trek universe, characterized by its harsh phonetics and use in inter-faction communication and conflict.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kazon language Target entity description: The Kazon language is a constructed alien tongue spoken by the Kazon species in the Star Trek universe, characterized by its harsh phonetics and use in inter-faction communication and conflict.
-
A.
Keiga language
The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
-
B.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
C.
Teke-Kega language
The Teke-Kega language is a Bantu language spoken by the Teke people of Central Africa, primarily in the Republic of the Congo and surrounding regions.
-
D.
Kiga language
The Kiga language is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda.
-
E.
Aka-Bea language
The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97180ee708190b60a3e58c42f764f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a563a84c8190a75d830653661518 |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a641d1988190b9af41c8c7ca599e |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a77ba20081908f72f46f64382fca |
completed | May 3, 2026, 1:40 a.m. |
Created at: April 9, 2026, 5:40 p.m.