Triple
T11480668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yale College |
E272134
|
entity |
| Predicate | hasFormerStudentStatus |
P26417
|
FINISHED |
| Object | attended without graduating |
—
|
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: attended without graduating | Statement: [Yale College, hasFormerStudentStatus, attended without graduating]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerStudentStatus Context triple: [Yale College, hasFormerStudentStatus, attended without graduating]
-
A.
hasFormerPupilRole
chosen
Indicates that an entity previously held the role or position of a pupil or student in relation to another entity.
-
B.
hasFormerInstitution
Indicates that an entity was previously affiliated with, employed by, or enrolled in a particular institution in the past.
-
C.
hasFormerStaffMember
Indicates that an entity once had a person as a staff member, but that person is no longer employed there.
-
D.
hasStatusInEducation
Indicates that an entity holds a particular educational status or standing within an educational system, program, or institution.
-
E.
hasAlumniOutcome
Indicates that an entity has a specific outcome or post-completion status associated with its alumni.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294f0e948190b2e106beb86e4b2c |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.