Triple
T27077891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D.O. |
E685511
|
entity |
| Predicate | graduatesTitle |
P161824
|
FINISHED |
| Object | Doctor of Osteopathic Medicine |
—
|
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: Doctor of Osteopathic Medicine | Statement: [D.O., graduatesTitle, Doctor of Osteopathic Medicine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graduatesTitle Context triple: [D.O., graduatesTitle, Doctor of Osteopathic Medicine]
-
A.
graduates
Indicates that an individual successfully completes an educational program and receives a degree or qualification from an institution.
-
B.
successfulGraduatesReceive
Indicates that individuals who successfully graduate are given or obtain something, such as a degree, certification, or benefit, as a result of their graduation.
-
C.
graduatesOftenBecome
Indicates that individuals who complete a particular educational program frequently go on to assume a specified role, status, or outcome.
-
D.
graduation
Indicates that an entity has successfully completed an educational program and received a corresponding degree or qualification.
-
E.
academyGraduateOf
Indicates that a person has graduated from or successfully completed a program at a particular academy.
- 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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6231742748190929446f701a0ba50 |
completed | May 2, 2026, 4:15 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fa35ac48190890102c348ed81a0 |
completed | May 2, 2026, 4 p.m. |
Created at: April 27, 2026, 8:32 a.m.