Triple
T3340907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gakushuin Primary School |
E70256
|
entity |
| Predicate | hasNotableAlumniGroup |
P4387
|
FINISHED |
| Object | members of the Japanese imperial family |
—
|
LITERAL FINISHED |
How this triple was built (2 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: members of the Japanese imperial family | Statement: [Gakushuin Primary School, hasNotableAlumniGroup, members of the Japanese imperial family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableAlumniGroup Context triple: [Gakushuin Primary School, hasNotableAlumniGroup, members of the Japanese imperial family]
-
A.
hasNotableAlumniType
chosen
Indicates that an entity has notable alumni belonging to a specified category or type.
-
B.
hasAlumni
Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
-
C.
notableStudentBodyAssociatedWith
Indicates that there is a significant or noteworthy group of students associated with a particular entity, such as an institution, organization, or program.
-
D.
hasAlumniWhoWon
Indicates that an institution has alumni who have won a particular award, honor, or competition.
-
E.
positionOfNotableAlumnus
Indicates the professional role or office held by a notable alumnus in relation to an institution or organization.
- F. None of above.
Provenance (3 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1c0ae44819091c851569eaf4565 |
completed | March 8, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69ada42c2ba8819091136805ce17b39d |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.