Triple
T33402556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stevo |
E855345
|
entity |
| Predicate | postGraduationPlan |
P176862
|
FINISHED |
| Object | attend Harvard Law School |
—
|
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: attend Harvard Law School | Statement: [Stevo, postGraduationPlan, attend Harvard Law School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postGraduationPlan Context triple: [Stevo, postGraduationPlan, attend Harvard Law School]
-
A.
plannedCareer
Indicates that an individual has chosen and intends to pursue a specific career path.
-
B.
preparesGraduatesFor
Indicates that one entity equips or trains graduates with the knowledge, skills, or qualifications needed to succeed in another specified context, role, or activity.
-
C.
collegeCareer
Indicates the period of a person’s academic and related activities while they are enrolled in and progressing through college.
-
D.
collegeCareerEnd
Indicates the point or event at which an individual's college-level athletic or academic career concludes.
-
E.
collegeCareerPeriod
Indicates the time span during which an individual is engaged in their college or university education and related academic activities.
- 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6f37f36ac8190b1bff8711d6771cb |
completed | May 3, 2026, 7:04 a.m. |
Created at: May 1, 2026, 1:36 a.m.