Triple
T2688605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shigeyoshi Inoue |
E57542
|
entity |
| Predicate | graduationClassRank |
P35205
|
FINISHED |
| Object | First in class |
—
|
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: First in class | Statement: [Shigeyoshi Inoue, graduationClassRank, First in class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graduationClassRank Context triple: [Shigeyoshi Inoue, graduationClassRank, First in class]
-
A.
rankOfTypicalStudents
Indicates the usual or most common rank or standing that students hold within a given group or context.
-
B.
hasRankUponGraduation
chosen
Indicates that an entity is assigned a specific rank or standing at the time of its graduation.
-
C.
gradeRank
Indicates the relative academic standing or position of an entity within a graded or ranked group based on performance or scores.
-
D.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
E.
rankComparedTo
Indicates the relative ordering or position of one entity in comparison to another based on a specified ranking criterion.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f1ba3081909a349a2f30f8f9c9 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.