Triple
T16569201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Code Black |
E402538
|
entity |
| Predicate | inspiredByRealEventType |
P124093
|
FINISHED |
| Object | real-life overcrowded emergency rooms |
—
|
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: real-life overcrowded emergency rooms | Statement: [Code Black, inspiredByRealEventType, real-life overcrowded emergency rooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredByRealEventType Context triple: [Code Black, inspiredByRealEventType, real-life overcrowded emergency rooms]
-
A.
inspiredEvent
Indicates that one event served as the motivation, cause, or creative stimulus for another event to occur or be conceived.
-
B.
inspiredRealWorldSport
Indicates that one entity served as the real-world sport that influenced or inspired the creation, design, or concept of another entity.
-
C.
celebratedEvent
Indicates that an entity has been honored, commemorated, or festively observed as a special event.
-
D.
hasFictionalEventType
Indicates that something is associated with, characterized by, or classified under a particular type or category of fictional event.
-
E.
eventInfluencedBy
Indicates that an event occurs or unfolds in a way that is causally or significantly affected by another entity, factor, or prior event.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35773c00c819091731bebc02a69bb |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:16 a.m.