Triple
T4877268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keyshia Cole |
E109233
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Trust
"Trust" is an R&B ballad by Keyshia Cole, known for its emotional lyrics about vulnerability and commitment in a romantic relationship.
|
E477565
|
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 | Statement: [Keyshia Cole, notableSong, Trust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trust Context triple: [Keyshia Cole, notableSong, Trust]
-
A.
Trust
"Trust" is a popular drill track by Brooklyn rapper Fivio Foreign that helped raise his profile in the New York drill scene.
-
B.
Trust
Trust is the debut studio album by the American indie rock band Low, noted for its slow tempos, sparse arrangements, and minimalist, melancholic sound.
-
C.
Trust Principles
The Trust Principles are a set of foundational ethical and editorial guidelines that ensure Reuters operates with independence, integrity, and freedom from bias or external influence.
-
D.
Trusty
Trusty is the elderly, good-natured bloodhound in Disney’s *Lady and the Tramp* known for his loyalty, Southern drawl, and fading sense of smell.
-
E.
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.
- 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 Triple: [Keyshia Cole, notableSong, Trust]
Generated description
"Trust" is an R&B ballad by Keyshia Cole, known for its emotional lyrics about vulnerability and commitment in a romantic relationship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trust Target entity description: "Trust" is an R&B ballad by Keyshia Cole, known for its emotional lyrics about vulnerability and commitment in a romantic relationship.
-
A.
Trust
"Trust" is a popular drill track by Brooklyn rapper Fivio Foreign that helped raise his profile in the New York drill scene.
-
B.
Trust
Trust is the debut studio album by the American indie rock band Low, noted for its slow tempos, sparse arrangements, and minimalist, melancholic sound.
-
C.
Trust Principles
The Trust Principles are a set of foundational ethical and editorial guidelines that ensure Reuters operates with independence, integrity, and freedom from bias or external influence.
-
D.
Trusty
Trusty is the elderly, good-natured bloodhound in Disney’s *Lady and the Tramp* known for his loyalty, Southern drawl, and fading sense of smell.
-
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_69bd440e9d64819083e82cf33b4d9570 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6dbbc734819083b28a022e5690d6 |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67fc50cc819083a475a1de914670 |
completed | March 21, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69be6c25d3448190b2589959a2f221c8 |
completed | March 21, 2026, 10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be6cf6662c8190bc1b94766c5da1e9 |
completed | March 21, 2026, 10:03 a.m. |
Created at: March 20, 2026, 1:27 p.m.