Triple
T4129895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Reed National Military Medical Center |
E85014
|
entity |
| Predicate | MajorWalterReedKnownFor |
P39674
|
FINISHED |
| Object | work on yellow fever |
—
|
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: work on yellow fever | Statement: [Walter Reed National Military Medical Center, MajorWalterReedKnownFor, work on yellow fever]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MajorWalterReedKnownFor Context triple: [Walter Reed National Military Medical Center, MajorWalterReedKnownFor, work on yellow fever]
-
A.
notableInvestigator
chosen
Indicates that one entity is a distinguished or prominently recognized investigator or researcher associated with another entity.
-
B.
notableCommanderAmerican
Indicates that the subject served as a notable military commander who is American.
-
C.
notableHistoricalEntity
Indicates that an entity holds recognized historical significance or prominence within a historical context.
-
D.
notableHistoricalFigureRole
Indicates that an entity is recognized as a historically significant person who played a particular role or held a specific position in history.
-
E.
alsoServedAs
Indicates that an entity held an additional role or position beyond the primary one already mentioned.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af01883b6c8190a482ead589a131a5 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:42 p.m.