Triple
T37818105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgetown-Howard Universities Center for Clinical and Translational Science |
E942831
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object |
Howard University College of Medicine
Howard University College of Medicine is a historically significant medical school in Washington, D.C., renowned for training physicians and advancing healthcare, particularly within African American and underserved communities.
|
E2244290
|
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: Howard University College of Medicine | Statement: [Georgetown-Howard Universities Center for Clinical and Translational Science, collaboratesWith, Howard University College of Medicine]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Howard University College of Medicine Triple: [Georgetown-Howard Universities Center for Clinical and Translational Science, collaboratesWith, Howard University College of Medicine]
Generated description
Howard University College of Medicine is a historically significant medical school in Washington, D.C., renowned for training physicians and advancing healthcare, particularly within African American and underserved communities.
Provenance (5 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb1c27b88819088212b1ef7b02161 |
completed | May 6, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40f1980eb48190a8d82446170ed3a0 |
completed | June 28, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a40f521568481908932c5f4790b7133 |
completed | June 28, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a40f60e7c248190ba43bc1519f2576e |
completed | June 28, 2026, 10:23 a.m. |
Created at: May 3, 2026, 4:19 p.m.