Triple
T21829170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Believes in Me |
E538940
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | She Believes in 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: She Believes in Me | Statement: [She Believes in Me, title, She Believes in Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: She Believes in Me Context triple: [She Believes in Me, title, She Believes in Me]
-
A.
She Believes in Me
chosen
"She Believes in Me" is a popular country-pop ballad by Kenny Rogers about love, faith, and self-doubt that became one of his signature hits.
-
B.
She Believes in Me
"She Believes in Me" is a creative work by Morgana Jones, likely a song or literary piece centered on themes of trust, support, and personal faith.
-
C.
Believing in Me
"Believing in Me" is a song featured on the album "Still Standing," likely reflecting themes of resilience and self-confidence.
-
D.
Believe in Me
"Believe in Me" is a song featured on the R&B album "Write Me Back" by American singer R. Kelly.
-
E.
Believe in Me
"Believe in Me" is an R&B/soul album by American singer Regina Belle, showcasing her smooth vocal style and romantic, gospel-tinged ballads.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091344c848190b1675432a8c255f2 |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 16, 2026, 6:54 p.m.