Triple
T30428214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zenitsu Agatsuma |
E774090
|
entity |
| Predicate | sharesMentorWith |
P196747
|
FINISHED |
| Object | Kaigaku |
—
|
NE NERFINISHED |
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: Kaigaku | Statement: [Zenitsu Agatsuma, sharesMentorWith, Kaigaku]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesMentorWith Context triple: [Zenitsu Agatsuma, sharesMentorWith, Kaigaku]
-
A.
sharesTrainingWith
Indicates that two entities have participated in the same training activity, program, or session.
-
B.
sharesCurriculumWith
Indicates that two educational programs or courses use the same or substantially overlapping curriculum content.
-
C.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
D.
sharesWith
Indicates that one entity gives another entity access to or use of something it possesses.
-
E.
sharesModuleWith
Indicates that two entities are associated with or participate in at least one common module.
- F. None of above. chosen
Provenance (4 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69fe673905408190a2ae68c2c9563403 |
completed | May 8, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:06 p.m.