Triple
T14599539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Meets Evil |
E342664
|
entity |
| Predicate | hasRelease |
P22087
|
FINISHED |
| Object |
Scary Movies
"Scary Movies" is a track by the hip hop duo Bad Meets Evil, known for its dark humor, rapid-fire lyricism, and horror-themed wordplay.
|
E1108737
|
NE FINISHED |
How this triple was built (4 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: Scary Movies | Statement: [Bad Meets Evil, hasRelease, Scary Movies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scary Movies Context triple: [Bad Meets Evil, hasRelease, Scary Movies]
-
A.
Nightmare Movies
Nightmare Movies is a comprehensive critical study of horror cinema by film critic and author Kim Newman.
-
B.
Scary Movie
Scary Movie is a 2000 American parody film that satirizes popular horror and slasher movies through crude humor and over-the-top comedic scenarios.
-
C.
Movie Macabre
Movie Macabre is a late-night horror movie television series best known for introducing the campy, goth-humor horror hostess character Elvira, Mistress of the Dark.
-
D.
Schreck
Schreck is a German surname most notably borne by Julius Schreck, an early associate and chauffeur of Adolf Hitler and a founding member of the SS.
-
E.
Scauri
Scauri is a coastal town in central Italy’s Lazio region, known for its beaches along the Tyrrhenian Sea and its proximity to the Gulf of Gaeta.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Scary Movies Triple: [Bad Meets Evil, hasRelease, Scary Movies]
Generated description
"Scary Movies" is a track by the hip hop duo Bad Meets Evil, known for its dark humor, rapid-fire lyricism, and horror-themed wordplay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scary Movies Target entity description: "Scary Movies" is a track by the hip hop duo Bad Meets Evil, known for its dark humor, rapid-fire lyricism, and horror-themed wordplay.
-
A.
Nightmare Movies
Nightmare Movies is a comprehensive critical study of horror cinema by film critic and author Kim Newman.
-
B.
Scary Movie
Scary Movie is a 2000 American parody film that satirizes popular horror and slasher movies through crude humor and over-the-top comedic scenarios.
-
C.
Movie Macabre
Movie Macabre is a late-night horror movie television series best known for introducing the campy, goth-humor horror hostess character Elvira, Mistress of the Dark.
-
D.
Schreck
Schreck is a German surname most notably borne by Julius Schreck, an early associate and chauffeur of Adolf Hitler and a founding member of the SS.
-
E.
Scauri
Scauri is a coastal town in central Italy’s Lazio region, known for its beaches along the Tyrrhenian Sea and its proximity to the Gulf of Gaeta.
- F. None of above. chosen
Provenance (5 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94ca0fec81908fb9c674f48a793b |
completed | May 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69fd973985b881908f0c2fd201db8104 |
completed | May 8, 2026, 7:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd9843857c819089eb96564b8a9503 |
completed | May 8, 2026, 8:01 a.m. |
Created at: April 10, 2026, 1:25 a.m.