Triple
T23633567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Weinberg (cosmologist) |
E583679
|
entity |
| Predicate | hasTaughtCourseAt |
P36187
|
FINISHED |
| Object | Ohio State University |
E49691
|
NE 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: Ohio State University | Statement: [David Weinberg (cosmologist), hasTaughtCourseAt, Ohio State University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTaughtCourseAt Context triple: [David Weinberg (cosmologist), hasTaughtCourseAt, Ohio State University]
-
A.
taughtCourse
Indicates that an entity (typically an instructor) has taught a particular course.
-
B.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
C.
areTaughtIn
Indicates that certain subjects, courses, or topics are instructed or delivered within specific locations, classes, or educational settings.
-
D.
hasTeachingActivity
Indicates that an entity engages in or is associated with a specific teaching-related activity or instructional role.
-
E.
gaveLecturesAt
chosen
Indicates that a person delivered lectures or taught courses at a particular institution or location.
- F. None of above.
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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1ea269c8190a677e812d7471a98 |
completed | April 29, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f459a8a6c8190adb84828b76962e1 |
completed | May 21, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:47 p.m.