Triple
T29252816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Κόριννα |
E741611
|
entity |
| Predicate | traditionClaimsTeacherOf |
P194006
|
FINISHED |
| Object | Pindar |
—
|
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: Pindar | Statement: [Κόριννα, traditionClaimsTeacherOf, Pindar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionClaimsTeacherOf Context triple: [Κόριννα, traditionClaimsTeacherOf, Pindar]
-
A.
traditionallyTaughtBy
Indicates that something is customarily or historically instructed or passed down by a particular person, group, or institution.
-
B.
guruInTradition
Indicates that one entity serves as a spiritual teacher or guide (guru) within the lineage, school, or religious tradition represented by the other entity.
-
C.
isSuccessorInTraditionTo
Indicates that one entity follows and continues the practices, ideas, or legacy of another within a particular tradition or lineage.
-
D.
followsEducationalTradition
Indicates that one entity adheres to, continues, or is guided by the established educational practices, principles, or lineage associated with another entity.
-
E.
honorsTeacherOfFounder
Indicates that one entity pays respect or tribute to the teacher or mentor of another entity’s founder.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
| PDg | Predicate description generation | batch_69fd5d47da488190a4f2dbd44a0a83b2 |
completed | May 8, 2026, 3:49 a.m. |
Created at: April 28, 2026, 12:35 p.m.