Triple
T20194929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Moonlight |
E493057
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Let Me Love You
"Let Me Love You" is a song featured on the soundtrack of the South Korean television drama series "In the Moonlight."
|
E1416447
|
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: Let Me Love You | Statement: [In the Moonlight, hasTrack, Let Me Love You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let Me Love You Context triple: [In the Moonlight, hasTrack, Let Me Love You]
-
A.
Let Me Love You
"Let Me Love You" is a song featured on Pusha T's debut studio album "My Name Is My Name."
-
B.
Let Me Love You
"Let Me Love You" is a mid-tempo R&B-influenced pop song by Ariana Grande featuring rapper Lil Wayne from her album *Dangerous Woman*.
-
C.
Let Me Love You
"Let Me Love You" is a 2016 EDM-pop song by DJ Snake featuring Justin Bieber that became a global hit for its catchy melody and emotional lyrics.
-
D.
Let Me Love You
"Let Me Love You" is a popular song performed by British singer-songwriter Ella Henderson, showcasing her powerful vocals in a contemporary pop style.
-
E.
Let Me Love You
"Let Me Love You" is a 2004 R&B ballad by American singer Mario that became a major international hit and one of his signature songs.
- 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: Let Me Love You Triple: [In the Moonlight, hasTrack, Let Me Love You]
Generated description
"Let Me Love You" is a song featured on the soundtrack of the South Korean television drama series "In the Moonlight."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Let Me Love You Target entity description: "Let Me Love You" is a song featured on the soundtrack of the South Korean television drama series "In the Moonlight."
-
A.
Let Me Love You
"Let Me Love You" is a song featured on Pusha T's debut studio album "My Name Is My Name."
-
B.
Let Me Love You
"Let Me Love You" is a 2004 R&B ballad by American singer Mario that became a major international hit and one of his signature songs.
-
C.
Let Me Love You
"Let Me Love You" is a mid-tempo R&B-influenced pop song by Ariana Grande featuring rapper Lil Wayne from her album *Dangerous Woman*.
-
D.
Let Me Love You
"Let Me Love You" is a 2016 EDM-pop song by DJ Snake featuring Justin Bieber that became a global hit for its catchy melody and emotional lyrics.
-
E.
Let Me Love You
"Let Me Love You" is a popular song performed by British singer-songwriter Ella Henderson, showcasing her powerful vocals in a contemporary pop style.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad7ed548190a893110fa2ffb144 |
completed | April 20, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c8a440c819089f0d90aacc640b5 |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083d95db488190b2ffafc7e0d874dc |
completed | May 16, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083e12d31481909295a5dc4e47b14b |
completed | May 16, 2026, 9:51 a.m. |
Created at: April 11, 2026, 11:37 p.m.