Triple
T13855016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PartyNextDoor |
E333039
|
entity |
| Predicate | wroteSong |
P2831
|
FINISHED |
| Object |
Sex with Me
"Sex with Me" is a sultry R&B track best known as a bonus song from Rihanna’s 2016 album *Anti*, celebrated for its confident, sensual lyrics and atmospheric production.
|
E1066110
|
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: Sex with Me | Statement: [PartyNextDoor, wroteSong, Sex with Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sex with Me Context triple: [PartyNextDoor, wroteSong, Sex with Me]
-
A.
This Ain’t Sex
"This Ain’t Sex" is a song by Usher from his 2008 R&B album "Here I Stand."
-
B.
Better Than Sex
Better Than Sex is a 2000 Australian romantic comedy film that follows a brief but intense love affair between two strangers who meet at a party in Sydney.
-
C.
Do With Me What You Will
Do With Me What You Will is a 1973 novel by Joyce Carol Oates that explores complex themes of love, power, and moral ambiguity within a troubled marriage and the legal world.
-
D.
Seduces Me
"Seduces Me" is a romantic pop ballad by Celine Dion featured on her 1996 album "Falling into You."
-
E.
Seduce Me
Seduce Me is a popular hit single by Tanzanian singer Ali Kiba, known for its catchy Bongo Flava style and romantic lyrics.
- 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: Sex with Me Triple: [PartyNextDoor, wroteSong, Sex with Me]
Generated description
"Sex with Me" is a sultry R&B track best known as a bonus song from Rihanna’s 2016 album *Anti*, celebrated for its confident, sensual lyrics and atmospheric production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sex with Me Target entity description: "Sex with Me" is a sultry R&B track best known as a bonus song from Rihanna’s 2016 album *Anti*, celebrated for its confident, sensual lyrics and atmospheric production.
-
A.
This Ain’t Sex
"This Ain’t Sex" is a song by Usher from his 2008 R&B album "Here I Stand."
-
B.
Better Than Sex
Better Than Sex is a 2000 Australian romantic comedy film that follows a brief but intense love affair between two strangers who meet at a party in Sydney.
-
C.
Do With Me What You Will
Do With Me What You Will is a 1973 novel by Joyce Carol Oates that explores complex themes of love, power, and moral ambiguity within a troubled marriage and the legal world.
-
D.
Seduces Me
"Seduces Me" is a romantic pop ballad by Celine Dion featured on her 1996 album "Falling into You."
-
E.
Seduce Me
Seduce Me is a popular hit single by Tanzanian singer Ali Kiba, known for its catchy Bongo Flava style and romantic lyrics.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02db9c9c81909bb2d2fbfb7394b1 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f924808190856dd0116962eda7 |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c1e73fb481909f89ab3c0e9fb7d0 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3396f7c8190987079bf24ac8695 |
completed | May 3, 2026, 9:50 p.m. |
Created at: April 9, 2026, 10:14 p.m.