Triple
T11392222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higashifushimi |
E269870
|
entity |
| Predicate | hasTitleStyle |
P1609
|
FINISHED |
| Object |
no-miya
no-miya is a Japanese imperial princely title historically used for certain collateral branches of the Imperial Family.
|
E923202
|
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: no-miya | Statement: [Higashifushimi, hasTitleStyle, no-miya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: no-miya Context triple: [Higashifushimi, hasTitleStyle, no-miya]
-
A.
Niou no Miya
Niou no Miya is a prominent prince and romantic protagonist in the later chapters of the classic Japanese literary work The Tale of Genji.
-
B.
NOH
NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
-
C.
nosuke
nosuke is a Japanese masculine given-name element commonly used as the second part of male names, often conveying connotations of assistance or mediation.
-
D.
Niit
Niit is a surname of Estonian origin, notably borne by figures such as the children's writer and poet Ellen Niit.
-
E.
NOB
NOB is the abbreviation for Dutch National Opera & Ballet, the leading institution for opera and ballet performances in the Netherlands.
- 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: no-miya Triple: [Higashifushimi, hasTitleStyle, no-miya]
Generated description
no-miya is a Japanese imperial princely title historically used for certain collateral branches of the Imperial Family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: no-miya Target entity description: no-miya is a Japanese imperial princely title historically used for certain collateral branches of the Imperial Family.
-
A.
Niou no Miya
Niou no Miya is a prominent prince and romantic protagonist in the later chapters of the classic Japanese literary work The Tale of Genji.
-
B.
NOH
NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
-
C.
nosuke
nosuke is a Japanese masculine given-name element commonly used as the second part of male names, often conveying connotations of assistance or mediation.
-
D.
Niit
Niit is a surname of Estonian origin, notably borne by figures such as the children's writer and poet Ellen Niit.
-
E.
NOB
NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001796f48190822526f52e3f0337 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58c8f5ed88190b9cc55c0a73993ec |
completed | April 20, 2026, 2:16 a.m. |
| NEDg | Description generation | batch_69e5932d3cb88190807acdcdc3aaa9fc |
completed | April 20, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e59a0ab7e081908cb8761c4f82c664 |
completed | April 20, 2026, 3:14 a.m. |
Created at: April 8, 2026, 9:34 p.m.