Triple
T17911013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sailor Moon |
E447818
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Naoko Takeuchi
Naoko Takeuchi is a Japanese manga artist best known for creating the globally influential magical-girl series "Sailor Moon."
|
E1479502
|
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: Naoko Takeuchi | Statement: [Sailor Moon, creator, Naoko Takeuchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naoko Takeuchi Context triple: [Sailor Moon, creator, Naoko Takeuchi]
-
A.
Naoko Yamazaki
Naoko Yamazaki is a Japanese engineer and former JAXA astronaut who flew aboard NASA's Space Shuttle Discovery on the STS-131 mission to the International Space Station.
-
B.
Naoko Mori
Naoko Mori is a Japanese-born British actress best known for her roles in the TV series "Torchwood" and the musical "Miss Saigon."
-
C.
Itagaki Naoko
Itagaki Naoko is a Japanese manga artist best known for creating the popular boxing series "Hajime no Ippo."
-
D.
Naoko Sato
Naoko Sato is a Japanese given name that may refer to multiple individuals, including professionals in fields such as sports, entertainment, or academia.
-
E.
Shinobu Nakayama
Shinobu Nakayama is a Japanese actress and former idol singer best known internationally for her leading role in the 1990s Gamera kaiju film trilogy.
- 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: Naoko Takeuchi Triple: [Sailor Moon, creator, Naoko Takeuchi]
Generated description
Naoko Takeuchi is a Japanese manga artist best known for creating the globally influential magical-girl series "Sailor Moon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naoko Takeuchi Target entity description: Naoko Takeuchi is a Japanese manga artist best known for creating the globally influential magical-girl series "Sailor Moon."
-
A.
Naoko Yamazaki
Naoko Yamazaki is a Japanese engineer and former JAXA astronaut who flew aboard NASA's Space Shuttle Discovery on the STS-131 mission to the International Space Station.
-
B.
Naoko Mori
Naoko Mori is a Japanese-born British actress best known for her roles in the TV series "Torchwood" and the musical "Miss Saigon."
-
C.
Itagaki Naoko
Itagaki Naoko is a Japanese manga artist best known for creating the popular boxing series "Hajime no Ippo."
-
D.
Naoko Sato
Naoko Sato is a Japanese given name that may refer to multiple individuals, including professionals in fields such as sports, entertainment, or academia.
-
E.
Shinobu Nakayama
Shinobu Nakayama is a Japanese actress and former idol singer best known internationally for her leading role in the 1990s Gamera kaiju film trilogy.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea017d081908be850a39edf601f |
completed | April 19, 2026, 9:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad4449b08190bbe537d050a7d923 |
completed | May 17, 2026, 11:57 a.m. |
| NEDg | Description generation | batch_6a09add0b7948190a68b42b0fed110fd |
completed | May 17, 2026, noon |
| NED2 | Entity disambiguation (via description) | batch_6a09ae80cd648190a4f0bda8894fca2b |
completed | May 17, 2026, 12:03 p.m. |
Created at: April 10, 2026, 10:19 a.m.