Triple
T28200619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spiritual essays |
E716872
|
entity |
| Predicate | authorNameInKanji |
P114914
|
FINISHED |
| Object |
鳩山幸
鳩山幸 is a Japanese writer best known for her spiritual essays and as the wife of former Prime Minister Yukio Hatoyama.
|
E1809165
|
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: 鳩山幸 | Statement: [Spiritual essays, authorNameInKanji, 鳩山幸]
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: 鳩山幸 Triple: [Spiritual essays, authorNameInKanji, 鳩山幸]
Generated description
鳩山幸 is a Japanese writer best known for her spiritual essays and as the wife of former Prime Minister Yukio Hatoyama.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorNameInKanji Context triple: [Spiritual essays, authorNameInKanji, 鳩山幸]
-
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.
authorName
Indicates the name associated with the person or entity that authored a given work or resource.
-
D.
authorOfNamesFor
Indicates that one entity is the creator or originator of the names assigned to another entity or set of entities.
-
E.
hasNameInJapanese
Indicates that an entity is associated with a specific name expressed in the Japanese language.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15e6b50c18819099041cfd31f2a6d5 |
completed | May 26, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_6a15eec2ef9081908b5a99d7900eb82f |
completed | May 26, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a15f40d69c48190ab96b08d36dcd904 |
completed | May 26, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 27, 2026, 10:31 p.m.