Triple
T15971983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carrie Ann Inaba |
E387347
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Inaba
Inaba is a Japanese surname most notably associated with American television personality and choreographer Carrie Ann Inaba.
|
E1436581
|
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: Inaba | Statement: [Carrie Ann Inaba, familyName, Inaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inaba Context triple: [Carrie Ann Inaba, familyName, Inaba]
-
A.
Inaba
Inaba is a major serotype of the cholera-causing bacterium Vibrio cholerae, distinguished by its specific O-antigen structure and epidemiological significance.
-
B.
Iwatsuki
Iwatsuki is a former city in Saitama Prefecture, Japan, now a ward of Saitama City known historically for its traditional doll-making industry.
-
C.
Inabe
Inabe is a city in Mie Prefecture, Japan, known for its rural landscapes, agriculture, and access to regional transport routes.
-
D.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
E.
Wakamatsu
Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
- 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: Inaba Triple: [Carrie Ann Inaba, familyName, Inaba]
Generated description
Inaba is a Japanese surname most notably associated with American television personality and choreographer Carrie Ann Inaba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inaba Target entity description: Inaba is a Japanese surname most notably associated with American television personality and choreographer Carrie Ann Inaba.
-
A.
Inaba
Inaba is a major serotype of the cholera-causing bacterium Vibrio cholerae, distinguished by its specific O-antigen structure and epidemiological significance.
-
B.
Iwatsuki
Iwatsuki is a former city in Saitama Prefecture, Japan, now a ward of Saitama City known historically for its traditional doll-making industry.
-
C.
Inabe
Inabe is a city in Mie Prefecture, Japan, known for its rural landscapes, agriculture, and access to regional transport routes.
-
D.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
E.
Wakamatsu
Wakamatsu is a ward in the city of Kitakyushu, Japan, known historically as a port and industrial area on the northern coast of Kyushu.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15729d73c8190a4140a0e55ee2566 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a544bcc081908db3128bc107e5dc |
completed | May 16, 2026, 5:11 p.m. |
| NEDg | Description generation | batch_6a08a5de7b388190a03defa5ac8df667 |
completed | May 16, 2026, 5:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a67f37f08190a50c377042c44a6f |
completed | May 16, 2026, 5:16 p.m. |
Created at: April 10, 2026, 4:54 a.m.