Triple
T5341518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Nagin |
E123953
|
entity |
| Predicate | reasonForEarlyRelease |
P22992
|
FINISHED |
| Object | COVID-19 pandemic-related measures |
—
|
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: COVID-19 pandemic-related measures | Statement: [Ray Nagin, reasonForEarlyRelease, COVID-19 pandemic-related measures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForEarlyRelease Context triple: [Ray Nagin, reasonForEarlyRelease, COVID-19 pandemic-related measures]
-
A.
reasonForRelease
chosen
Indicates the cause, justification, or circumstance that led to an entity being released.
-
B.
reasonForRelief
Indicates the cause, justification, or circumstance that explains why relief or alleviation from a condition or obligation occurs.
-
C.
reasonForGrant
Indicates the justification, purpose, or cause for which a grant is awarded or provided.
-
D.
reasonForSpecialMeasures
Indicates that one entity specifies the justification or cause for which special measures or exceptional actions are taken regarding another entity.
-
E.
statedReason
Indicates that one entity expresses or provides another entity as the explanation, justification, or motive for an action, event, or claim.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85e86edc81908d87933db6489f91 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2 p.m.