Triple
T13931931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wrath of Caine |
E335013
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Trust You
"Trust You" is a hip-hop track by Pusha T from his 2013 mixtape *Wrath of Caine*.
|
E1069215
|
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: Trust You | Statement: [Wrath of Caine, hasTrack, Trust You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trust You Context triple: [Wrath of Caine, hasTrack, Trust You]
-
A.
Trust in Me
"Trust in Me" is a hypnotic song from Disney's 1967 animated film *The Jungle Book*, performed by the snake Kaa and written by the songwriting duo the Sherman Brothers.
-
B.
Confide in Me
"Confide in Me" is a 1994 trip hop–influenced pop song by Kylie Minogue that marked a darker, more sophisticated shift in her musical style and became one of her signature tracks.
-
C.
Trust Me
"Trust Me" is a song by the American rock band Culture, recognized as one of their notable works.
-
D.
Trust Me
Trust Me is a British medical thriller television series that follows a nurse who assumes a doctor’s identity, known in part for starring Jodie Whittaker before her role in Doctor Who.
-
E.
Trust Me
Trust Me is an American television drama series that explores the high-pressure world of advertising through the personal and professional struggles of two creative executives.
- 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: Trust You Triple: [Wrath of Caine, hasTrack, Trust You]
Generated description
"Trust You" is a hip-hop track by Pusha T from his 2013 mixtape *Wrath of Caine*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trust You Target entity description: "Trust You" is a hip-hop track by Pusha T from his 2013 mixtape *Wrath of Caine*.
-
A.
Trust in Me
"Trust in Me" is a hypnotic song from Disney's 1967 animated film *The Jungle Book*, performed by the snake Kaa and written by the songwriting duo the Sherman Brothers.
-
B.
Confide in Me
"Confide in Me" is a 1994 trip hop–influenced pop song by Kylie Minogue that marked a darker, more sophisticated shift in her musical style and became one of her signature tracks.
-
C.
Trust Me
"Trust Me" is a song by the American rock band Culture, recognized as one of their notable works.
-
D.
Trust Me
Trust Me is a British medical thriller television series that follows a nurse who assumes a doctor’s identity, known in part for starring Jodie Whittaker before her role in Doctor Who.
-
E.
Trust Me
Trust Me is an American television drama series that explores the high-pressure world of advertising through the personal and professional struggles of two creative executives.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf13b2881908a48058a719d3745 |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce8452648190b7392d75eb1ca874 |
completed | May 3, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69f7cf37cd7c81908f4da2495403bc6c |
completed | May 3, 2026, 10:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7cfee80a881909de648b20043bf6d |
completed | May 3, 2026, 10:45 p.m. |
Created at: April 9, 2026, 10:16 p.m.