Triple
T10963538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Luther Bryan |
E259037
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I’ll Stay Me |
E259048
|
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: I’ll Stay Me | Statement: [Thomas Luther Bryan, notableWork, I’ll Stay Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I’ll Stay Me Context triple: [Thomas Luther Bryan, notableWork, I’ll Stay Me]
-
A.
I'll Stay Me
chosen
"I'll Stay Me" is the first studio album by American country singer Luke Bryan, showcasing his traditional country roots and storytelling style.
-
B.
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.
-
C.
Still Me
Still Me is a contemporary novel by Jojo Moyes that continues the story of Louisa Clark as she starts a new life in New York City, navigating love, identity, and independence.
-
D.
I’m Still
"I'm Still" is a track by DJ Khaled from his studio album "Suffering from Success."
-
E.
“I’m Gonna Stay”
“I’m Gonna Stay” is an R&B song written and produced by Shep Crawford, best known for his work with artists like Whitney Houston and Deborah Cox.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77147f7108190a3b68ba1dd1c130e |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d77277108190979f1b1edeac8964 |
completed | April 18, 2026, 12:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.