Triple
T7893612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recruit Holdings |
E183295
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Study Sapuri
Study Sapuri is a Japanese online learning platform offering video-based educational content and test preparation services for students.
|
E697381
|
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: Study Sapuri | Statement: [Recruit Holdings, owns, Study Sapuri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Study Sapuri Context triple: [Recruit Holdings, owns, Study Sapuri]
-
A.
Sarju
Sarju is an alternate name for the Sarayu, a river historically associated with the ancient Indian city of Ayodhya and revered in Hindu tradition.
-
B.
Sapokanikan
"Sapokanikan" is a song by American singer-songwriter Joanna Newsom from her 2015 album "Divers," noted for its intricate lyrics and historical allusions.
-
C.
Sapian
Sapian is a coastal municipality in the province of Capiz in the Philippines, known for its fishing industry and scenic bay.
-
D.
Saibai
Saibai was the first wife of Maratha ruler Shivaji and the mother of his son Sambhaji, the second Chhatrapati of the Maratha Empire.
-
E.
Shinpūren
Shinpūren was a radical samurai group in late 19th-century Japan known for its violent opposition to Westernization and participation in the 1876 Shinpūren Rebellion.
- 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: Study Sapuri Triple: [Recruit Holdings, owns, Study Sapuri]
Generated description
Study Sapuri is a Japanese online learning platform offering video-based educational content and test preparation services for students.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Study Sapuri Target entity description: Study Sapuri is a Japanese online learning platform offering video-based educational content and test preparation services for students.
-
A.
Sarju
Sarju is an alternate name for the Sarayu, a river historically associated with the ancient Indian city of Ayodhya and revered in Hindu tradition.
-
B.
Sapokanikan
"Sapokanikan" is a song by American singer-songwriter Joanna Newsom from her 2015 album "Divers," noted for its intricate lyrics and historical allusions.
-
C.
Sapian
Sapian is a coastal municipality in the province of Capiz in the Philippines, known for its fishing industry and scenic bay.
-
D.
Saibai
Saibai was the first wife of Maratha ruler Shivaji and the mother of his son Sambhaji, the second Chhatrapati of the Maratha Empire.
-
E.
Shinpūren
Shinpūren was a radical samurai group in late 19th-century Japan known for its violent opposition to Westernization and participation in the 1876 Shinpūren Rebellion.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a008fb88190a039fec40483ab93 |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ba9c2ac8190b8faf1518390dff4 |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb5f1e84fc8190b535016cb69405b4 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76a214488190b90e5db28511daa0 |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:01 p.m.