Triple
T10734492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let's Roll |
E253157
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Trust Yourself
"Trust Yourself" is a song featured on the album "Let's Roll."
|
E883567
|
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 Yourself | Statement: [Let's Roll, hasTrack, Trust Yourself]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trust Yourself Context triple: [Let's Roll, hasTrack, Trust Yourself]
-
A.
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.
-
B.
Trust Us with Your Life
Trust Us with Your Life is an improvisational comedy television series in which comedians create scenes based on stories from celebrity guests.
-
C.
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.
-
D.
Trust Me
Trust Me is a short story collection by American author John Updike that explores themes of family, faith, and middle-class life in contemporary America.
-
E.
Trust Me
"Trust Me" is a song by the American rock band Culture, recognized as one of their notable works.
- 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 Yourself Triple: [Let's Roll, hasTrack, Trust Yourself]
Generated description
"Trust Yourself" is a song featured on the album "Let's Roll."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trust Yourself Target entity description: "Trust Yourself" is a song featured on the album "Let's Roll."
-
A.
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.
-
B.
Trust Us with Your Life
Trust Us with Your Life is an improvisational comedy television series in which comedians create scenes based on stories from celebrity guests.
-
C.
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.
-
D.
Trust Me
Trust Me is a short story collection by American author John Updike that explores themes of family, faith, and middle-class life in contemporary America.
-
E.
Trust Me
"Trust Me" is a song by the American rock band Culture, recognized as one of their notable works.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71020e1c881909e40f398de2bdd25 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22bb62e481909544c87801012df3 |
completed | April 14, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69de271ca4f081908d78a20b25ebd25c |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2ccee0cc8190acd24d5c225f7cde |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:14 p.m.