Triple
T6360164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Let's Talk About Love |
E143088
|
entity |
| Predicate | featuresSingle |
P54721
|
FINISHED |
| Object | To Love You More |
E587593
|
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: To Love You More | Statement: [Let's Talk About Love, featuresSingle, To Love You More]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: To Love You More Context triple: [Let's Talk About Love, featuresSingle, To Love You More]
-
A.
To Love You More
chosen
"To Love You More" is a power ballad by Celine Dion that became one of her signature hits, especially popular in Japan and known for its dramatic violin accompaniment.
-
B.
More Love
"More Love" is a 1980 soft rock song by American singer Kim Carnes that became one of her early charting hits before her breakthrough with "Bette Davis Eyes."
-
C.
A Little More Love
"A Little More Love" is a 1978 pop-rock single by Olivia Newton-John that became one of her major hits, showcasing a darker, more mature sound in her career.
-
D.
So Much More
"So Much More" is a track by American rapper Big Sean from his debut studio album "Finally Famous."
-
E.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f8758081909c5ce40abf57dd2c |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c63869ef148190816b152f2724de49 |
completed | March 27, 2026, 7:57 a.m. |
Created at: March 22, 2026, 4:32 p.m.