Triple
T14599525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Meets Evil |
E342664
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Bad vs. Evil
Bad vs. Evil is the hip hop duo of rappers Eminem and Royce da 5'9", known for their aggressive lyricism and intricate wordplay.
|
E1108735
|
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: Bad vs. Evil | Statement: [Bad Meets Evil, alsoKnownAs, Bad vs. Evil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad vs. Evil Context triple: [Bad Meets Evil, alsoKnownAs, Bad vs. Evil]
-
A.
Good and Evil
Good and Evil is a philosophical work by Martin Buber that explores the nature of morality, human freedom, and the ethical dimensions of good and evil in human relationships.
-
B.
Good and Evil
"Good and Evil" is a song by Japanese singer Rei Momo.
-
C.
The Evil
The Evil is a 1978 American supernatural horror film about a psychologist who opens a cursed mansion that becomes a deadly trap for its occupants.
-
D.
Evil
Evil is a psychological horror television series that follows a skeptical psychologist, a priest-in-training, and a contractor as they investigate alleged supernatural occurrences for the Catholic Church.
-
E.
Evil
Evil is a popular Emacs extension that emulates Vim’s modal editing, allowing users to use Vim-style keybindings and workflows within Emacs.
- 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: Bad vs. Evil Triple: [Bad Meets Evil, alsoKnownAs, Bad vs. Evil]
Generated description
Bad vs. Evil is the hip hop duo of rappers Eminem and Royce da 5'9", known for their aggressive lyricism and intricate wordplay.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad vs. Evil Target entity description: Bad vs. Evil is the hip hop duo of rappers Eminem and Royce da 5'9", known for their aggressive lyricism and intricate wordplay.
-
A.
Good and Evil
"Good and Evil" is a song by Japanese singer Rei Momo.
-
B.
Good and Evil
Good and Evil is a philosophical work by Martin Buber that explores the nature of morality, human freedom, and the ethical dimensions of good and evil in human relationships.
-
C.
The Evil
The Evil is a 1978 American supernatural horror film about a psychologist who opens a cursed mansion that becomes a deadly trap for its occupants.
-
D.
Evil
Evil is a psychological horror television series that follows a skeptical psychologist, a priest-in-training, and a contractor as they investigate alleged supernatural occurrences for the Catholic Church.
-
E.
Evil
Evil is a popular Emacs extension that emulates Vim’s modal editing, allowing users to use Vim-style keybindings and workflows within Emacs.
- 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.