Triple
T8243617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinuko Y. Craft |
E192795
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Kinuko
Kinuko is a Japanese-born American artist renowned for her richly detailed fantasy and fairy-tale illustrations.
|
E729228
|
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: Kinuko | Statement: [Kinuko Y. Craft, givenName, Kinuko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinuko Context triple: [Kinuko Y. Craft, givenName, Kinuko]
-
A.
Henoko
Henoko is a coastal district in Nago, Okinawa, Japan, known as a focal point of controversy over the planned relocation and expansion of U.S. military facilities.
-
B.
Kyoko
Kyoko is a mysterious, mostly silent android in the science fiction film "Ex Machina," serving as both assistant and unsettling presence within the reclusive inventor Nathan's isolated research facility.
-
C.
Kumiko
Kumiko is the introspective Japanese woman at the center of the film "Kumiko, the Treasure Hunter," whose obsession with a fictional movie treasure drives her on a quixotic journey to America.
-
D.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
E.
Reona
Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
- 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: Kinuko Triple: [Kinuko Y. Craft, givenName, Kinuko]
Generated description
Kinuko is a Japanese-born American artist renowned for her richly detailed fantasy and fairy-tale illustrations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kinuko Target entity description: Kinuko is a Japanese-born American artist renowned for her richly detailed fantasy and fairy-tale illustrations.
-
A.
Henoko
Henoko is a coastal district in Nago, Okinawa, Japan, known as a focal point of controversy over the planned relocation and expansion of U.S. military facilities.
-
B.
Kyoko
Kyoko is a mysterious, mostly silent android in the science fiction film "Ex Machina," serving as both assistant and unsettling presence within the reclusive inventor Nathan's isolated research facility.
-
C.
Kumiko
Kumiko is the introspective Japanese woman at the center of the film "Kumiko, the Treasure Hunter," whose obsession with a fictional movie treasure drives her on a quixotic journey to America.
-
D.
Takako
Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
-
E.
Reona
Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb786f65708190a92ec282b280c813 |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde74c4e6c8190a426139f71689a3e |
completed | April 2, 2026, 3:49 a.m. |
| NEDg | Description generation | batch_69cdeb1fa7308190810b1fcc2184374a |
completed | April 2, 2026, 4:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdec3081d88190ad0699f9072d3fc7 |
completed | April 2, 2026, 4:10 a.m. |
Created at: March 30, 2026, 5:47 p.m.