Triple
T18324126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daken |
E438958
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Itsu
Itsu is a Marvel Comics character known as the Japanese wife of Wolverine and the mother of his son Daken.
|
E1318074
|
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: Itsu | Statement: [Daken, mother, Itsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itsu Context triple: [Daken, mother, Itsu]
-
A.
Iitsu
Iitsu is an alternative name used by the renowned Japanese ukiyo-e artist Katsushika Hokusai, famous for woodblock prints such as "The Great Wave off Kanagawa."
-
B.
Teimei
Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
-
C.
Izutsu
Izutsu is a classical Noh play, traditionally attributed to Zeami Motokiyo, that poignantly depicts love, memory, and longing through the story of a woman haunted by her past.
-
D.
Itsa
Itsa is a town in Egypt located within the Faiyum Governorate, known primarily as a local agricultural and administrative center.
-
E.
Izu
Izu is a coastal hot spring resort town on Japan’s Izu Peninsula, known for its scenic beaches, onsen, and natural beauty.
- 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: Itsu Triple: [Daken, mother, Itsu]
Generated description
Itsu is a Marvel Comics character known as the Japanese wife of Wolverine and the mother of his son Daken.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Itsu Target entity description: Itsu is a Marvel Comics character known as the Japanese wife of Wolverine and the mother of his son Daken.
-
A.
Iitsu
Iitsu is an alternative name used by the renowned Japanese ukiyo-e artist Katsushika Hokusai, famous for woodblock prints such as "The Great Wave off Kanagawa."
-
B.
Teimei
Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
-
C.
Izutsu
Izutsu is a classical Noh play, traditionally attributed to Zeami Motokiyo, that poignantly depicts love, memory, and longing through the story of a woman haunted by her past.
-
D.
Itsa
Itsa is a town in Egypt located within the Faiyum Governorate, known primarily as a local agricultural and administrative center.
-
E.
Izu
Izu is a coastal hot spring resort town on Japan’s Izu Peninsula, known for its scenic beaches, onsen, and natural beauty.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa93fb0819083293b80e8400c4e |
completed | April 19, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03c4ca13c881909d74489622f3a9a9 |
completed | May 13, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_6a03c5a12da88190babe36d475b54994 |
completed | May 13, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03c63ec8c48190bad47d423ab2cfe7 |
completed | May 13, 2026, 12:30 a.m. |
Created at: April 10, 2026, 10:36 a.m.