Triple
T32627443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sera lineage |
E834095
|
entity |
| Predicate | followsTeacher |
P52943
|
FINISHED |
| Object | Je Tsongkhapa |
—
|
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: Je Tsongkhapa | Statement: [Sera lineage, followsTeacher, Je Tsongkhapa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsTeacher Context triple: [Sera lineage, followsTeacher, Je Tsongkhapa]
-
A.
followsCourse
Indicates that one entity (typically a person or student) is enrolled in and actively attending or studying a particular course.
-
B.
hasTeacher
chosen
Indicates that one entity serves as an instructor or educator for another entity.
-
C.
studentOrTeacherOf
Indicates that one entity is either a student of, or a teacher of, another entity within some educational or instructional context.
-
D.
follows
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
-
E.
previousTeacher
Indicates that one entity formerly served as a teacher or instructor of the other entity in the past.
- 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
Created at: May 1, 2026, 1:06 a.m.