Triple
T11058294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanford Supreme Court Litigation Clinic |
E261435
|
entity |
| Predicate | hasInstructor |
P52943
|
FINISHED |
| Object | clinical faculty |
—
|
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: clinical faculty | Statement: [Stanford Supreme Court Litigation Clinic, hasInstructor, clinical faculty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstructor Context triple: [Stanford Supreme Court Litigation Clinic, hasInstructor, clinical faculty]
-
A.
hasLecturer
Indicates that an educational course, class, or module is taught or overseen by a specific lecturer.
-
B.
hasTeacher
chosen
Indicates that one entity serves as an instructor or educator for another entity.
-
C.
hasTeaching
Indicates that one entity provides instruction or educational guidance to another entity.
-
D.
hasTeachingRole
Indicates that one entity holds a position or responsibility involving teaching or instruction in relation to another entity.
-
E.
hasTeachingStatus
Indicates that an entity holds a particular teaching-related role, capacity, or status in relation to another entity or context.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a2efa48190b290f43dfe836501 |
completed | April 9, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69d7440da46c8190a77380d5d747ac9c |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.