Triple
T16091937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikio Oda |
E390377
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Mikio
Mikio is a Japanese masculine given name commonly borne by notable figures in sports, arts, and public life.
|
E1194819
|
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: Mikio | Statement: [Mikio Oda, givenName, Mikio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mikio Context triple: [Mikio Oda, givenName, Mikio]
-
A.
Miiko Taka
Miiko Taka was a Japanese-American actress best known for her breakthrough role opposite Marlon Brando in the 1957 film "Sayonara."
-
B.
Koichi
Koichi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, politics, and entertainment.
-
C.
Miki
Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
-
D.
Miki
Miki is a city located in Japan’s Kagawa Prefecture on the island of Shikoku.
-
E.
Mogis
Mogis is the surname of Mike Mogis, an American musician and record producer best known for his work with the indie rock band Bright Eyes and the Saddle Creek Records scene.
- 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: Mikio Triple: [Mikio Oda, givenName, Mikio]
Generated description
Mikio is a Japanese masculine given name commonly borne by notable figures in sports, arts, and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mikio Target entity description: Mikio is a Japanese masculine given name commonly borne by notable figures in sports, arts, and public life.
-
A.
Miiko Taka
Miiko Taka was a Japanese-American actress best known for her breakthrough role opposite Marlon Brando in the 1957 film "Sayonara."
-
B.
Koichi
Koichi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, politics, and entertainment.
-
C.
Miki
Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
-
D.
Miki
Miki is a city located in Japan’s Kagawa Prefecture on the island of Shikoku.
-
E.
Mogis
Mogis is the surname of Mike Mogis, an American musician and record producer best known for his work with the indie rock band Bright Eyes and the Saddle Creek Records scene.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1858d1264819099434d7201614d05 |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb9550f0819092660f6c4b0d708e |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffed526eac8190968a19738ab019e7 |
completed | May 10, 2026, 2:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffedda25fc8190b9eef3e7752f95f5 |
completed | May 10, 2026, 2:30 a.m. |
Created at: April 10, 2026, 4:59 a.m.