Triple
T10978725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiyo |
E259441
|
entity |
| Predicate | sisterShip |
P3142
|
FINISHED |
| Object |
Junyo
Junyo was a Japanese Imperial Navy aircraft carrier that served during World War II, notably participating in several major Pacific naval engagements.
|
E897056
|
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: Junyo | Statement: [Hiyo, sisterShip, Junyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Junyo Context triple: [Hiyo, sisterShip, Junyo]
-
A.
Junya
"Junya" is a track from Kanye West's album *Donda*, notable for its hard-hitting production and collaboration with rapper Playboi Carti.
-
B.
Ryujo
Ryujo was a light aircraft carrier of the Imperial Japanese Navy that served in the early stages of World War II before being sunk in the Battle of the Eastern Solomons in 1942.
-
C.
Shōryaku
Shōryaku was a Japanese era name (nengō) of the late 10th century, used during the reign of Emperor Shirakawa.
-
D.
Kōjun
Kōjun was the posthumous name of Empress Kōjun, the wife of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito of Japan.
-
E.
Junshi
Junshi was the courtesy name of Sima Guang, a prominent Song dynasty historian and statesman best known for compiling the comprehensive chronicle "Zizhi Tongjian."
- 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: Junyo Triple: [Hiyo, sisterShip, Junyo]
Generated description
Junyo was a Japanese Imperial Navy aircraft carrier that served during World War II, notably participating in several major Pacific naval engagements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Junyo Target entity description: Junyo was a Japanese Imperial Navy aircraft carrier that served during World War II, notably participating in several major Pacific naval engagements.
-
A.
Junya
"Junya" is a track from Kanye West's album *Donda*, notable for its hard-hitting production and collaboration with rapper Playboi Carti.
-
B.
Ryujo
Ryujo was a light aircraft carrier of the Imperial Japanese Navy that served in the early stages of World War II before being sunk in the Battle of the Eastern Solomons in 1942.
-
C.
Shōryaku
Shōryaku was a Japanese era name (nengō) of the late 10th century, used during the reign of Emperor Shirakawa.
-
D.
Kōjun
Kōjun was the posthumous name of Empress Kōjun, the wife of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito of Japan.
-
E.
Junshi
Junshi was the courtesy name of Sima Guang, a prominent Song dynasty historian and statesman best known for compiling the comprehensive chronicle "Zizhi Tongjian."
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f7b874819087bf5a858905279b |
completed | April 9, 2026, 9:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7bcea448190b09906c79de67496 |
completed | April 18, 2026, 1 a.m. |
| NEDg | Description generation | batch_69e2ff211ae88190a40380cd25a61812 |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e32634397481908284c04448274b25 |
completed | April 18, 2026, 6:35 a.m. |
Created at: April 8, 2026, 9:24 p.m.