Triple
T3685744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Napes |
E78220
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Stay With Me
"Stay With Me" is a soulful pop ballad, popularized by Sam Smith, that became an international hit and earned widespread critical acclaim and major music awards.
|
E379199
|
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: Stay With Me | Statement: [Jimmy Napes, notableWork, Stay With Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stay With Me Context triple: [Jimmy Napes, notableWork, Stay With Me]
-
A.
Stay with Me
"Stay with Me" is a soulful ballad composed by Michael Masser, best known through its powerful vocal performances and enduring popularity as a classic love song.
-
B.
Stay With You
"Stay With You" is a soulful R&B ballad by John Legend from his debut album "Get Lifted."
-
C.
Stuck with Me
"Stuck with Me" is a punk rock song by Green Day, best known as one of the singles from their 1995 album *Insomniac*.
-
D.
I'll Stay Me
"I'll Stay Me" is the first studio album by American country singer Luke Bryan, showcasing his traditional country roots and storytelling style.
-
E.
All of Me
All of Me is a 1984 fantasy-comedy film starring Steve Martin as a lawyer whose body is comically shared with the soul of a deceased heiress.
- 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: Stay With Me Triple: [Jimmy Napes, notableWork, Stay With Me]
Generated description
"Stay With Me" is a soulful pop ballad, popularized by Sam Smith, that became an international hit and earned widespread critical acclaim and major music awards.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stay With Me Target entity description: "Stay With Me" is a soulful pop ballad, popularized by Sam Smith, that became an international hit and earned widespread critical acclaim and major music awards.
-
A.
Stay with Me
"Stay with Me" is a soulful ballad composed by Michael Masser, best known through its powerful vocal performances and enduring popularity as a classic love song.
-
B.
Stay With You
"Stay With You" is a soulful R&B ballad by John Legend from his debut album "Get Lifted."
-
C.
Stuck with Me
"Stuck with Me" is a punk rock song by Green Day, best known as one of the singles from their 1995 album *Insomniac*.
-
D.
I'll Stay Me
"I'll Stay Me" is the first studio album by American country singer Luke Bryan, showcasing his traditional country roots and storytelling style.
-
E.
All of Me
All of Me is a 1984 fantasy-comedy film starring Steve Martin as a lawyer whose body is comically shared with the soul of a deceased heiress.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c676748190b074abfb9ba43b49 |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3bd473c8190b814689f3c76cada |
completed | March 14, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69b4c463b53c8190b3333fda95862545 |
completed | March 14, 2026, 2:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c4ee4db88190810a1d49d757b2b6 |
completed | March 14, 2026, 2:16 a.m. |
Created at: March 8, 2026, 3:26 p.m.