Triple
T18421926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Golden Cups |
E442042
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Mamoru Manu
Mamoru Manu is a musician best known as a member of the influential 1960s Japanese rock band The Golden Cups.
|
E1323365
|
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: Mamoru Manu | Statement: [The Golden Cups, hasMember, Mamoru Manu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mamoru Manu Context triple: [The Golden Cups, hasMember, Mamoru Manu]
-
A.
Mamoru
Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
-
B.
Masaru
Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
-
C.
Mikio
Mikio is a Japanese masculine given name commonly borne by notable figures in sports, arts, and public life.
-
D.
Alubarika
"Alubarika" is a popular Afro-dancehall song by Nigerian artist Patoranking that helped establish his prominence in the contemporary African music scene.
-
E.
Miiko Taka
Miiko Taka was a Japanese-American actress best known for her breakthrough role opposite Marlon Brando in the 1957 film "Sayonara."
- 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: Mamoru Manu Triple: [The Golden Cups, hasMember, Mamoru Manu]
Generated description
Mamoru Manu is a musician best known as a member of the influential 1960s Japanese rock band The Golden Cups.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mamoru Manu Target entity description: Mamoru Manu is a musician best known as a member of the influential 1960s Japanese rock band The Golden Cups.
-
A.
Mamoru
Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
-
B.
Masaru
Masaru is a Japanese given name commonly used for males and borne by various notable figures in fields such as technology, sports, and entertainment.
-
C.
Mikio
Mikio is a Japanese masculine given name commonly borne by notable figures in sports, arts, and public life.
-
D.
Alubarika
"Alubarika" is a popular Afro-dancehall song by Nigerian artist Patoranking that helped establish his prominence in the contemporary African music scene.
-
E.
Miiko Taka
Miiko Taka was a Japanese-American actress best known for her breakthrough role opposite Marlon Brando in the 1957 film "Sayonara."
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2c98b0819082672174bf69b88c |
completed | April 19, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03f0a7e788819080ab4b25f489726e |
completed | May 13, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_6a03f1e4007c8190b84dbbf7e3afcc80 |
completed | May 13, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03f25e93bc8190910ce6037dc1bcea |
completed | May 13, 2026, 3:39 a.m. |
Created at: April 10, 2026, 10:47 a.m.