Triple
T14515596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1989 |
E340507
|
entity |
| Predicate | deluxeEditionTrack |
P3284
|
FINISHED |
| Object |
You Are in Love
"You Are in Love" is a romantic pop ballad by Taylor Swift from her 2014 album 1989, depicting the quiet, everyday moments that reveal a deep, genuine relationship.
|
E1105541
|
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: You Are in Love | Statement: [1989, deluxeEditionTrack, You Are in Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Are in Love Context triple: [1989, deluxeEditionTrack, You Are in Love]
-
A.
You’re in Love
"You’re in Love" is a hard rock song by the American glam metal band Ratt, featured on their 1985 album "Invasion of Your Privacy."
-
B.
You Are Love
"You Are Love" is a romantic duet from the classic 1927 Jerome Kern and Oscar Hammerstein II musical *Show Boat*, celebrated as one of its central love songs.
-
C.
For You to Love
"For You to Love" is an R&B ballad by Freddie Jackson featured on his 1988 album "Don't Let Love Slip Away."
-
D.
Your Love
"Your Love" is a pop and R&B song best known as a hit single co-written and produced by Pop Wansel.
-
E.
Who You Love
"Who You Love" is a romantic duet by John Mayer and Katy Perry that blends soft rock and pop influences to explore the theme of accepting love without judgment.
- 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: You Are in Love Triple: [1989, deluxeEditionTrack, You Are in Love]
Generated description
"You Are in Love" is a romantic pop ballad by Taylor Swift from her 2014 album 1989, depicting the quiet, everyday moments that reveal a deep, genuine relationship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: You Are in Love Target entity description: "You Are in Love" is a romantic pop ballad by Taylor Swift from her 2014 album 1989, depicting the quiet, everyday moments that reveal a deep, genuine relationship.
-
A.
You’re in Love
"You’re in Love" is a hard rock song by the American glam metal band Ratt, featured on their 1985 album "Invasion of Your Privacy."
-
B.
You Are Love
"You Are Love" is a romantic duet from the classic 1927 Jerome Kern and Oscar Hammerstein II musical *Show Boat*, celebrated as one of its central love songs.
-
C.
For You to Love
"For You to Love" is an R&B ballad by Freddie Jackson featured on his 1988 album "Don't Let Love Slip Away."
-
D.
Your Love
"Your Love" is a pop and R&B song best known as a hit single co-written and produced by Pop Wansel.
-
E.
Who You Love
"Who You Love" is a romantic duet by John Mayer and Katy Perry that blends soft rock and pop influences to explore the theme of accepting love without judgment.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6d82988190b6f957012bcc63d4 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a49484081908fd2030d33727a6d |
completed | May 8, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69fd871314a081909e9b0a4a7be2394d |
completed | May 8, 2026, 6:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd877306f88190a7dd2458d0777684 |
completed | May 8, 2026, 6:49 a.m. |
Created at: April 10, 2026, 1:21 a.m.