Triple
T3275285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shine |
E68742
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object |
Back in Love
"Back in Love" is a song by the South Korean girl group Shine, recognized as one of their standout and most popular tracks.
|
E344623
|
NE FINISHED |
How this triple was built (4 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: Back in Love | Statement: [Shine, notableTrack, Back in Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Back in Love Context triple: [Shine, notableTrack, Back in Love]
-
A.
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.
-
B.
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.
-
C.
Lover Come Back
Lover Come Back is a 1961 romantic comedy film starring Rock Hudson and Doris Day, known for its witty battle-of-the-sexes plot set in the world of Madison Avenue advertising.
-
D.
So in Love
"So in Love" is a romantic ballad by Cole Porter, best known as one of the standout songs from his 1948 musical *Kiss Me, Kate*.
-
E.
Turn Your Love Around
"Turn Your Love Around" is a 1981 Grammy-winning R&B/pop single by George Benson that became one of his signature crossover hits.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Back in Love Triple: [Shine, notableTrack, Back in Love]
Generated description
"Back in Love" is a song by the South Korean girl group Shine, recognized as one of their standout and most popular tracks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Back in Love Target entity description: "Back in Love" is a song by the South Korean girl group Shine, recognized as one of their standout and most popular tracks.
-
A.
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.
-
B.
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.
-
C.
Lover Come Back
Lover Come Back is a 1961 romantic comedy film starring Rock Hudson and Doris Day, known for its witty battle-of-the-sexes plot set in the world of Madison Avenue advertising.
-
D.
So in Love
"So in Love" is a romantic ballad by Cole Porter, best known as one of the standout songs from his 1948 musical *Kiss Me, Kate*.
-
E.
Turn Your Love Around
"Turn Your Love Around" is a 1981 Grammy-winning R&B/pop single by George Benson that became one of his signature crossover hits.
- F. None of above. chosen
Provenance (5 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff8a440819092509bc8511b2785 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e841d5588190a53ba90a46721b0f |
completed | March 12, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69b2e8b79d308190922a310ff1337eae |
completed | March 12, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2e9ba41948190b9e4f6f54f32603c |
completed | March 12, 2026, 4:28 p.m. |
Created at: March 8, 2026, 3:10 p.m.