Triple
T18199033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gosei |
E435733
|
entity |
| Predicate | precedesInSequence |
P11124
|
FINISHED |
| Object |
Rokusei
Rokusei is a Japanese tokusatsu superhero team that succeeds Gosei in the narrative sequence of its series.
|
E1386207
|
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: Rokusei | Statement: [Gosei, precedesInSequence, Rokusei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rokusei Context triple: [Gosei, precedesInSequence, Rokusei]
-
A.
Ryojun
Ryojun is the former Japanese name for Lüshunkou, a strategically important port city in northeastern China historically known for its military significance.
-
B.
Shōryaku
Shōryaku was a Japanese era name (nengō) of the late 10th century, used during the reign of Emperor Shirakawa.
-
C.
Tsubami
Tsubami is one of the official bird mascots of the Tokyo Yakult Swallows baseball team, known for her cute design and energetic support of the club.
-
D.
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.
-
E.
Ryogo
Ryogo is a Japanese given name most notably borne by theoretical physicist Ryogo Kubo, known for his contributions to statistical mechanics and the fluctuation-dissipation theorem.
- 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: Rokusei Triple: [Gosei, precedesInSequence, Rokusei]
Generated description
Rokusei is a Japanese tokusatsu superhero team that succeeds Gosei in the narrative sequence of its series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rokusei Target entity description: Rokusei is a Japanese tokusatsu superhero team that succeeds Gosei in the narrative sequence of its series.
-
A.
Ryojun
Ryojun is the former Japanese name for Lüshunkou, a strategically important port city in northeastern China historically known for its military significance.
-
B.
Shōryaku
Shōryaku was a Japanese era name (nengō) of the late 10th century, used during the reign of Emperor Shirakawa.
-
C.
Tsubami
Tsubami is one of the official bird mascots of the Tokyo Yakult Swallows baseball team, known for her cute design and energetic support of the club.
-
D.
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.
-
E.
Ryogo
Ryogo is a Japanese given name most notably borne by theoretical physicist Ryogo Kubo, known for his contributions to statistical mechanics and the fluctuation-dissipation theorem.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d545f4819090285d1446bd3c27 |
completed | April 19, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0771959d588190a4917d8113490e66 |
completed | May 15, 2026, 7:18 p.m. |
| NEDg | Description generation | batch_6a07734eab80819087f9839f3a0aeb33 |
completed | May 15, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0773ba68188190ab87c2b28fc25944 |
completed | May 15, 2026, 7:27 p.m. |
Created at: April 10, 2026, 10:31 a.m.