Triple
T6812557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mykola |
E156670
|
entity |
| Predicate | shortFormPossible |
P25216
|
FINISHED |
| Object |
Myko
Myko is a short, informal given name or nickname derived from the Slavic name Mykola.
|
E622383
|
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: Myko | Statement: [Mykola, shortFormPossible, Myko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myko Context triple: [Mykola, shortFormPossible, Myko]
-
A.
Myus
Myus was an ancient Greek city of Ionia located near the mouth of the Maeander River in western Anatolia.
-
B.
Mykelti
Mykelti is the distinctive given name of American actor Mykelti Williamson, known for roles in films like "Forrest Gump" and various television series.
-
C.
Myaso
Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
-
D.
Tuber
Tuber is a genus of ectomycorrhizal fungi best known for producing truffles, highly prized edible subterranean fruiting bodies.
-
E.
Myal
Myal is an Afro-Caribbean spiritual tradition originating among enslaved Africans in Jamaica, characterized by spirit possession, healing rituals, and resistance to oppression.
- 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: Myko Triple: [Mykola, shortFormPossible, Myko]
Generated description
Myko is a short, informal given name or nickname derived from the Slavic name Mykola.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Myko Target entity description: Myko is a short, informal given name or nickname derived from the Slavic name Mykola.
-
A.
Myus
Myus was an ancient Greek city of Ionia located near the mouth of the Maeander River in western Anatolia.
-
B.
Mykelti
Mykelti is the distinctive given name of American actor Mykelti Williamson, known for roles in films like "Forrest Gump" and various television series.
-
C.
Myaso
Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
-
D.
Tuber
Tuber is a genus of ectomycorrhizal fungi best known for producing truffles, highly prized edible subterranean fruiting bodies.
-
E.
Myal
Myal is an Afro-Caribbean spiritual tradition originating among enslaved Africans in Jamaica, characterized by spirit possession, healing rituals, and resistance to oppression.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d329861881909f65bd1017ea384b |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723d775a48190bfdf5b6a52339833 |
completed | March 28, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69c724a4f64481908676d15a09e9db28 |
completed | March 28, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c725814d188190bd158292b34a553f |
completed | March 28, 2026, 12:49 a.m. |
Created at: March 27, 2026, 2:17 p.m.