Triple
T22125456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sober |
E546779
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Tell Me You Love Me (song) |
—
|
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: Tell Me You Love Me (song) | Statement: [Sober, follows, Tell Me You Love Me (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tell Me You Love Me (song) Context triple: [Sober, follows, Tell Me You Love Me (song)]
-
A.
Tell Me You Love Me
"Tell Me You Love Me" is a song featured on the album "The Ascension," likely contributing to its emotional and thematic depth.
-
B.
Tell Me You Love Me
Tell Me You Love Me is a television drama series in which actress Katharine Towne appears in a notable role.
-
C.
Tell Me You Love Me
chosen
"Tell Me You Love Me" is a soulful pop and R&B song by Demi Lovato, known for its powerful vocals and emotional exploration of vulnerability and love.
-
D.
Tell Me That You Love Me
"Tell Me That You Love Me" is a song written by American songwriter Randy Goodrum, known for his work in pop and adult contemporary music.
-
E.
You Tell Me
"You Tell Me" is a song by Paul McCartney featured on his 2007 studio album "Memory Almost Full."
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12980e2488190b58b541c8bee8480 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.