Triple
T15408682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God Forgives, I Don’t |
E368527
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Touch’N You
"Touch’N You" is an R&B-influenced hip hop song by Rick Ross featuring Usher, known for its smooth, sensual production and melodic hook.
|
E1154356
|
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: Touch’N You | Statement: [God Forgives, I Don’t, hasPart, Touch’N You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Touch’N You Context triple: [God Forgives, I Don’t, hasPart, Touch’N You]
-
A.
The Touch
The Touch is a psychological science fiction novel by Daniel Keyes that explores the emotional and ethical consequences of a man gaining dangerous telekinetic powers.
-
B.
One Touch
"One Touch" is a 2019 dance-pop single by British singer Jess Glynne, known for its upbeat production and soulful vocals.
-
C.
“Touch”
“Touch” is a track by the Japanese rock band L'Arc-en-Ciel from their album *Seal IV*.
-
D.
Touch It
"Touch It" is a moody, synth-driven pop and R&B song by Ariana Grande from her 2016 album *Dangerous Woman*, noted for its soaring vocals and emotional intensity.
-
E.
Human Touch
"Human Touch" is a music album by Pony Boy, an artist known for blending Americana, indie, and alt-country influences into moody, narrative-driven songs.
- 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: Touch’N You Triple: [God Forgives, I Don’t, hasPart, Touch’N You]
Generated description
"Touch’N You" is an R&B-influenced hip hop song by Rick Ross featuring Usher, known for its smooth, sensual production and melodic hook.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Touch’N You Target entity description: "Touch’N You" is an R&B-influenced hip hop song by Rick Ross featuring Usher, known for its smooth, sensual production and melodic hook.
-
A.
The Touch
The Touch is a psychological science fiction novel by Daniel Keyes that explores the emotional and ethical consequences of a man gaining dangerous telekinetic powers.
-
B.
One Touch
"One Touch" is a 2019 dance-pop single by British singer Jess Glynne, known for its upbeat production and soulful vocals.
-
C.
“Touch”
“Touch” is a track by the Japanese rock band L'Arc-en-Ciel from their album *Seal IV*.
-
D.
Touch It
"Touch It" is a moody, synth-driven pop and R&B song by Ariana Grande from her 2016 album *Dangerous Woman*, noted for its soaring vocals and emotional intensity.
-
E.
Human Touch
"Human Touch" is a music album by Pony Boy, an artist known for blending Americana, indie, and alt-country influences into moody, narrative-driven songs.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135bcb5c8190a1f43c6bb6a0e53c |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141babdc8190bac03e8a294984ce |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14d3e78881909692d5594bc941d8 |
completed | May 9, 2026, 11:04 a.m. |
Created at: April 10, 2026, 3:20 a.m.