Triple
T18109109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iMegaphone |
E433425
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Getting Scared |
—
|
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: Getting Scared | Statement: [iMegaphone, hasSingle, Getting Scared]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Getting Scared Context triple: [iMegaphone, hasSingle, Getting Scared]
-
A.
Getting Scared
chosen
"Getting Scared" is a song by British singer-songwriter iMegaphone, known for its dark, edgy alternative pop sound.
-
B.
I Get Scared
"I Get Scared" is a song by the American heavy metal band Undisputed.
-
C.
Running Scared
Running Scared is a 1961 Roy Orbison pop ballad renowned for its dramatic crescendo and Orbison’s powerful vocal performance.
-
D.
Running Scared
Running Scared is a 2006 neo-noir action thriller film known for its gritty style and intense, fast-paced narrative.
-
E.
Running Scared
Running Scared is a 1986 action-comedy film about two wisecracking Chicago detectives, starring Gregory Hines and Billy Crystal.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddbbfae88190aa77f498dbb9edcb |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:28 a.m.