Triple
T15178045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bed (song) |
E362663
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Be with Me (song) |
E1133019
|
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: Be with Me (song) | Statement: [Bed (song), follows, Be with Me (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Be with Me (song) Context triple: [Bed (song), follows, Be with Me (song)]
-
A.
Be with Me
chosen
"Be with Me" is an R&B song by American singer J. Holiday, released as one of his singles.
-
B.
Please Be with Me
"Please Be with Me" is a soulful ballad popularized by Eric Clapton on his 1974 album 461 Ocean Boulevard, originally written and recorded by the band Cowboy.
-
C.
Be with You
"Be with You" is a romantic R&B ballad by Beyoncé from her debut solo album, showcasing her soulful vocals and emotive delivery.
-
D.
Be with You
"Be with You" is a pop song by British girl group Atomic Kitten, released in 2002 and known for its catchy melody and chart success in several countries.
-
E.
Be With You
"Be With You" is a song featured on the album *King Don Come* by Nigerian rapper and singer D'banj.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00663b4148190b647592eda315d1d |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89061548190b0b10da00b8d937e |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.