Triple
T25420490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marsyas |
E636967
|
entity |
| Predicate | teacherOrPupilOf |
P137608
|
FINISHED |
| Object | Olympus (mythological musician) |
—
|
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: Olympus (mythological musician) | Statement: [Marsyas, teacherOrPupilOf, Olympus (mythological musician)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teacherOrPupilOf Context triple: [Marsyas, teacherOrPupilOf, Olympus (mythological musician)]
-
A.
studentOrTeacherOf
chosen
Indicates that one entity is either a student of, or a teacher of, another entity within some educational or instructional context.
-
B.
teacherOrInfluence
Indicates that one entity serves as a teacher to, or has a significant influence on the development, behavior, or thinking of, another entity.
-
C.
hasTeacher
Indicates that one entity serves as an instructor or educator for another entity.
-
D.
previousTeacher
Indicates that one entity formerly served as a teacher or instructor of the other entity in the past.
-
E.
teacherInText
Indicates that an entity functions as a teacher within the context or narrative of a given text.
- 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6bbb1048190bf951255445aeecc |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:56 p.m.