Triple
T5348932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Results |
E124123
|
entity |
| Predicate | includesCover |
P1393
|
FINISHED |
| Object | Love Pains |
E513696
|
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: Love Pains | Statement: [Results, includesCover, Love Pains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Pains Context triple: [Results, includesCover, Love Pains]
-
A.
Love Pains
chosen
"Love Pains" is a song, likely a pop or dance track, known for its themes of romantic heartache and emotional struggle.
-
B.
Mad About You
Mad About You is a popular 1990s American sitcom that follows the everyday lives and relationship of a married couple in New York City, known for its witty dialogue and strong lead performances.
-
C.
Mad About You
"Mad About You" is a 1986 pop song by American singer Belinda Carlisle, released as one of her early solo hits after leaving the Go-Go's.
-
D.
Love, Inc.
Love, Inc. is an American television sitcom that follows a group of dating consultants as they help clients find love while navigating their own romantic lives.
-
E.
P.S. I Love You
P.S. I Love You is a romantic drama film best known for its emotional story about love, loss, and healing after the death of a spouse.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd860ea7088190ad7be14132927d17 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf291610b4819086e04f232e4eba7d |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:01 p.m.