Triple
T18831029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Stranger to Shame |
E460527
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | You Can’t Take Me |
—
|
NE NERFINISHED |
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: You Can’t Take Me | Statement: [No Stranger to Shame, hasPart, You Can’t Take Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Can’t Take Me Context triple: [No Stranger to Shame, hasPart, You Can’t Take Me]
-
A.
You Can't Take Me
chosen
"You Can't Take Me" is a country song recorded by the American duo Double Wide.
-
B.
I Can’t Take It
"I Can’t Take It" is a track featured on Snoop Dogg’s 1999 hip hop album *Tha Last Meal*.
-
C.
Can’t Help Me
"Can’t Help Me" is a song by American R&B artist H.E.R., featured on her compilation album *I Used to Know Her*.
-
D.
It Ain't Me
"It Ain't Me" is a 2017 EDM-pop song by Kygo and Selena Gomez, known for its tropical house production and melancholic lyrics about a broken relationship.
-
E.
I Can’t Stay
"I Can’t Stay" is a song by American rock band The Killers from their 2008 album "Day & Age," noted for its saxophone-driven, synth-infused sound and reflective lyrics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a9992bb081908ba517a5c9d93ef3 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.