Triple
T19534822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misery Business |
E488741
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Emergency |
—
|
NE NERFINISHED |
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: Emergency | Statement: [Misery Business, precededBy, Emergency]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emergency Context triple: [Misery Business, precededBy, Emergency]
-
A.
Emergency
"Emergency" is a popular Afrobeat song by Nigerian artist D'banj, known for its energetic rhythm and dance-floor appeal.
-
B.
Emergency
chosen
"Emergency" is a high-energy electropop single by Swedish duo Icona Pop, known for its catchy hook and dance-floor appeal.
-
C.
Emergency SOS
Emergency SOS is an iOS safety feature that lets users quickly contact emergency services and share critical information from their iPhone in urgent situations.
-
D.
Emergency Declaration
"Emergency Declaration" is a South Korean disaster-thriller film starring Byung-hun Lee that follows the chaos aboard a commercial flight threatened by a deadly bioterror attack.
-
E.
Emergency Room
An emergency room is a specialized hospital department that provides immediate medical care to patients with acute illnesses or injuries requiring urgent attention.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6386ddc208190962195b8aa568bed |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.