Triple
T22440837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grass-Cutting Sword |
E554750
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kusanagi
Kusanagi is a legendary Japanese sword from Shinto mythology, famed as one of the Three Sacred Treasures of Japan and associated with the storm god Susanoo.
|
E1537346
|
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: Kusanagi | Statement: [Grass-Cutting Sword, hasAlternativeName, Kusanagi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kusanagi Context triple: [Grass-Cutting Sword, hasAlternativeName, Kusanagi]
-
A.
Shinya
Shinya is a Japanese given name commonly used for males.
-
B.
Kamigōri
Kamigōri is a town in Hyōgo Prefecture, Japan, known for its rural character and location in the southwestern part of the prefecture.
-
C.
Kaneda
Kaneda is a fictional astronaut and the captain of the spacecraft Icarus II in the science fiction film "Sunshine."
-
D.
Nagato
Nagato was a famous Japanese battleship of the Imperial Japanese Navy, notable for serving as Admiral Yamamoto’s flagship during the attack on Pearl Harbor and later participating in major World War II engagements.
-
E.
Nagato
Nagato is a coastal city in Japan’s Yamaguchi Prefecture known for its scenic seaside landscapes and hot spring resorts.
- 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: Kusanagi Triple: [Grass-Cutting Sword, hasAlternativeName, Kusanagi]
Generated description
Kusanagi is a legendary Japanese sword from Shinto mythology, famed as one of the Three Sacred Treasures of Japan and associated with the storm god Susanoo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kusanagi Target entity description: Kusanagi is a legendary Japanese sword from Shinto mythology, famed as one of the Three Sacred Treasures of Japan and associated with the storm god Susanoo.
-
A.
Shinya
Shinya is a Japanese given name commonly used for males.
-
B.
Kamigōri
Kamigōri is a town in Hyōgo Prefecture, Japan, known for its rural character and location in the southwestern part of the prefecture.
-
C.
Kaneda
Kaneda is a fictional astronaut and the captain of the spacecraft Icarus II in the science fiction film "Sunshine."
-
D.
Nagato
Nagato was a famous Japanese battleship of the Imperial Japanese Navy, notable for serving as Admiral Yamamoto’s flagship during the attack on Pearl Harbor and later participating in major World War II engagements.
-
E.
Nagato
Nagato is a coastal city in Japan’s Yamaguchi Prefecture known for its scenic seaside landscapes and hot spring resorts.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae1f82881908a611f134eb03f3d |
completed | April 29, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c7001348190a6959ad5358f2fa4 |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0d10a50881909fb586a3c529623d |
completed | May 18, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0daf9bac819086166985458f6742 |
completed | May 18, 2026, 1:01 p.m. |
Created at: April 16, 2026, 8:47 p.m.