Triple
T3645722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishi Amane |
E77295
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Amane
Amane is a Japanese given name that can be used for people of any gender and appears in both real-life and fictional contexts.
|
E376292
|
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: Amane | Statement: [Nishi Amane, givenName, Amane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amane Context triple: [Nishi Amane, givenName, Amane]
-
A.
Anami
Anami is a Japanese surname most notably associated with Korechika Anami, a general in the Imperial Japanese Army during World War II.
-
B.
Aman
Aman is the blessed, undying western land in J.R.R. Tolkien’s Middle-earth legendarium, home of the Valar and the immortal Elves.
-
C.
Kanuma
Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
-
D.
Asaka
Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
-
E.
Itami
Itami is a city in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport).
- 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: Amane Triple: [Nishi Amane, givenName, Amane]
Generated description
Amane is a Japanese given name that can be used for people of any gender and appears in both real-life and fictional contexts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amane Target entity description: Amane is a Japanese given name that can be used for people of any gender and appears in both real-life and fictional contexts.
-
A.
Anami
Anami is a Japanese surname most notably associated with Korechika Anami, a general in the Imperial Japanese Army during World War II.
-
B.
Aman
Aman is the blessed, undying western land in J.R.R. Tolkien’s Middle-earth legendarium, home of the Valar and the immortal Elves.
-
C.
Kanuma
Kanuma is a regional harvest festival celebrated mainly in Andhra Pradesh and Telangana as part of the multi-day Makar Sankranti festivities, focusing on cattle worship and agricultural prosperity.
-
D.
Asaka
Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
-
E.
Itami
Itami is a city in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport).
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35da84c81908950de92ba171fa3 |
completed | March 8, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f35985081909a499f9c1668b589 |
completed | March 13, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69b4520fb96481909f54af01fc4a3bbe |
completed | March 13, 2026, 6:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45df65f5c8190a9f25e7da926222a |
completed | March 13, 2026, 6:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.