Triple
T3439387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cumans |
E72529
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Kun
Kun is an alternative name for the Cumans, a historically significant nomadic Turkic people who roamed the Eurasian steppes during the Middle Ages.
|
E357740
|
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: Kun | Statement: [Cumans, alsoKnownAs, Kun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kun Context triple: [Cumans, alsoKnownAs, Kun]
-
A.
Kuni
Kuni is the Japanese noble family name of Empress Kōjun, consort of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito.
-
B.
Ku
Ku is a principal Hawaiian god associated with war, politics, and prosperity, widely venerated in traditional Native Hawaiian religion.
-
C.
Kunis
Kunis is the surname of actress Mila Kunis, a Ukrainian-born American performer known for roles in "That '70s Show," "Black Swan," and as the voice of Meg Griffin on "Family Guy."
-
D.
Kono
Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
-
E.
Kono
Kono is a major Mande language spoken primarily in parts of West Africa, notably in Sierra Leone and neighboring regions.
- 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: Kun Triple: [Cumans, alsoKnownAs, Kun]
Generated description
Kun is an alternative name for the Cumans, a historically significant nomadic Turkic people who roamed the Eurasian steppes during the Middle Ages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kun Target entity description: Kun is an alternative name for the Cumans, a historically significant nomadic Turkic people who roamed the Eurasian steppes during the Middle Ages.
-
A.
Kuni
Kuni is the Japanese noble family name of Empress Kōjun, consort of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito.
-
B.
Ku
Ku is a principal Hawaiian god associated with war, politics, and prosperity, widely venerated in traditional Native Hawaiian religion.
-
C.
Kunis
Kunis is the surname of actress Mila Kunis, a Ukrainian-born American performer known for roles in "That '70s Show," "Black Swan," and as the voice of Meg Griffin on "Family Guy."
-
D.
Kono
Kono is a major Mande language spoken primarily in parts of West Africa, notably in Sierra Leone and neighboring regions.
-
E.
Kono
Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f6de1481909b789f4b0e1113d3 |
completed | March 8, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35483d0488190b6a4bd2ed65f78d3 |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b358b368648190840d1dee4a659a32 |
completed | March 13, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3593c810c819080f5370601750133 |
completed | March 13, 2026, 12:24 a.m. |
Created at: March 8, 2026, 3:16 p.m.