Triple
T6754456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George David Weiss |
E154417
|
entity |
| Predicate | coWrote |
P7732
|
FINISHED |
| Object | Stay With Me |
E312874
|
NE FINISHED |
How this triple was built (2 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: [George David Weiss, coWrote, Stay With Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stay With Me Context triple: [George David Weiss, coWrote, Stay With Me]
-
A.
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.
-
B.
Stay with Me
chosen
"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.
-
C.
Stay With You
"Stay With You" is a soulful R&B ballad by John Legend from his debut album "Get Lifted."
-
D.
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*.
-
E.
Always You
"Always You" is an R&B song by American singer James Ingram, known for its smooth vocals and romantic, soulful style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f465388190858207ca4c48f18d |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b1e477481909e4fca040f4894f4 |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:11 p.m.