Triple
T38345576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yojiro |
E1041529
|
entity |
| Predicate | portrayedByNameInKanji |
P114914
|
FINISHED |
| Object |
田中泯
田中泯は、日本の舞踏家・ダンサーとして世界的に知られ、映画やドラマでも存在感のある俳優として活躍する人物である。
|
E2265421
|
NE FINISHED |
How this triple was built (3 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: 田中泯 | Statement: [Yojiro, portrayedByNameInKanji, 田中泯]
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: 田中泯 Triple: [Yojiro, portrayedByNameInKanji, 田中泯]
Generated description
田中泯は、日本の舞踏家・ダンサーとして世界的に知られ、映画やドラマでも存在感のある俳優として活躍する人物である。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedByNameInKanji Context triple: [Yojiro, portrayedByNameInKanji, 田中泯]
-
A.
hasNameInKanji
chosen
Indicates that an entity is associated with a specific written form of its name in Kanji characters.
-
B.
nameInJapaneseKana
Indicates that an entity’s name is written or represented using Japanese kana characters.
-
C.
representedByCharacter
Indicates that one entity is depicted, symbolized, or personified by a particular character in a work or medium.
-
D.
characterPortrayedIs
Indicates that one entity serves as the fictional or dramatic role that is depicted or played by another entity.
-
E.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
- F. None of above.
Provenance (6 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_69f76e2ad95481908c920c0e5c1c3e26 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffc605b0648190a7abe9128b0d857a |
completed | May 9, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41a7f5331c8190ace7af7eea0e52d4 |
completed | June 28, 2026, 11:02 p.m. |
| NEDg | Description generation | batch_6a41a8e505d08190b8c442ae8085119a |
completed | June 28, 2026, 11:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41a97c56e48190a581814ee2f34b52 |
completed | June 28, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69ffc5742d80819099f947ece78d5700 |
completed | May 9, 2026, 11:38 p.m. |
Created at: May 3, 2026, 4:30 p.m.