Triple
T10629417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miklós |
E250411
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object | Miki |
E135460
|
NE FINISHED |
How this triple was built (2 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: Miki | Statement: [Miklós, shortForm, Miki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miki Context triple: [Miklós, shortForm, Miki]
-
A.
Miki
chosen
Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
-
B.
Miya
Miya is a Chadic language spoken in parts of northern Nigeria, known for its complex tonal system and Afroasiatic linguistic roots.
-
C.
Miya
Miya is a Japanese honorific suffix historically used in imperial and aristocratic titles, particularly within branches of the Japanese Imperial Family such as the Higashikuni-no-miya.
-
D.
Mija
Mija is the brave young girl protagonist of the film "Okja," who risks everything to rescue her genetically engineered super-pig friend from a powerful corporation.
-
E.
Mika Miko
Mika Miko was a Los Angeles-based punk band known for its frenetic live shows and raw, lo-fi sound that drew from hardcore and post-punk influences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df92f8388190a8bcff96809d8eb4 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96babc290819096c0c914d038ba01 |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9 p.m.