Triple
T12947503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuck in Love |
E309807
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Stuck in Love |
E309807
|
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: Stuck in Love | Statement: [Stuck in Love, title, Stuck in Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuck in Love Context triple: [Stuck in Love, title, Stuck in Love]
-
A.
Stuck in Love
chosen
Stuck in Love is a 2012 romantic comedy-drama film that follows a dysfunctional family of writers as they navigate love, heartbreak, and reconciliation over the course of a year.
-
B.
Still in Love
"Still in Love" is an R&B song by American singer-songwriter Brian McKnight, showcasing his smooth vocals and romantic ballad style.
-
C.
Staying In Love
"Staying In Love" is a song featured on the 2009 studio album *The Way I See It* by American soul singer Raphael Saadiq.
-
D.
Still in Love with You
"Still in Love with You" is a soulful, blues-influenced rock ballad by Irish band Thin Lizzy, renowned for its emotional guitar work and heartfelt vocals.
-
E.
Lost in Love
"Lost in Love" is a song by the American R&B group New Edition, showcasing their signature harmonies and romantic ballad style.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1c67b8819094e5243267f93ce2 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af75bc04819098d98c47fca48ac9 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.