Triple
T16437083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slip of the Tongue |
E399204
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Cheap an’ Nasty
"Cheap an’ Nasty" is a hard rock song by Whitesnake from their 1989 album *Slip of the Tongue*.
|
E1214231
|
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: Cheap an’ Nasty | Statement: [Slip of the Tongue, hasTrack, Cheap an’ Nasty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheap an’ Nasty Context triple: [Slip of the Tongue, hasTrack, Cheap an’ Nasty]
-
A.
Make It Nasty
"Make It Nasty" is a sexually explicit, bass-heavy hip hop track by American rapper Tyga that gained popularity for its provocative lyrics and club-oriented production.
-
B.
Down and Dirty
Down and Dirty is a shared-world superhero anthology novel in the Wild Cards series, featuring interconnected stories about people transformed by an alien virus.
-
C.
Nasty Habits
Nasty Habits is a 1977 satirical comedy film that parodies political scandal and intrigue within the setting of a convent.
-
D.
Nasty Beatmakers
Nasty Beatmakers is a hip-hop production duo known for crafting hard-hitting beats for prominent rap artists in the 2000s and 2010s.
-
E.
Ruthless Bastards
Ruthless Bastards is a hip-hop group known for its gritty, hardcore style and collaborations within the East Coast rap scene.
- 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: Cheap an’ Nasty Triple: [Slip of the Tongue, hasTrack, Cheap an’ Nasty]
Generated description
"Cheap an’ Nasty" is a hard rock song by Whitesnake from their 1989 album *Slip of the Tongue*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cheap an’ Nasty Target entity description: "Cheap an’ Nasty" is a hard rock song by Whitesnake from their 1989 album *Slip of the Tongue*.
-
A.
Make It Nasty
"Make It Nasty" is a sexually explicit, bass-heavy hip hop track by American rapper Tyga that gained popularity for its provocative lyrics and club-oriented production.
-
B.
Down and Dirty
Down and Dirty is a shared-world superhero anthology novel in the Wild Cards series, featuring interconnected stories about people transformed by an alien virus.
-
C.
Nasty Habits
Nasty Habits is a 1977 satirical comedy film that parodies political scandal and intrigue within the setting of a convent.
-
D.
Nasty Beatmakers
Nasty Beatmakers is a hip-hop production duo known for crafting hard-hitting beats for prominent rap artists in the 2000s and 2010s.
-
E.
Ruthless Bastards
Ruthless Bastards is a hip-hop group known for its gritty, hardcore style and collaborations within the East Coast rap scene.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba49f3481908e7ea62467ef5813 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458b91bc8190b40af99faf5e74ab |
completed | May 10, 2026, 8:44 a.m. |
| NEDg | Description generation | batch_6a00487c4b9081909188e9858626674a |
completed | May 10, 2026, 8:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0048e5175c81909d293bbf086b2f2e |
completed | May 10, 2026, 8:59 a.m. |
Created at: April 10, 2026, 5:10 a.m.