Triple
T20436368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treat Myself |
E501259
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
After You
"After You" is a song by Meghan Trainor from her album "Treat Myself."
|
E1431333
|
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: After You | Statement: [Treat Myself, hasPart, After You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: After You Context triple: [Treat Myself, hasPart, After You]
-
A.
After You (novel)
"After You" is a contemporary romantic drama novel by Jojo Moyes that continues the emotional story of Louisa Clark as she struggles to rebuild her life after the events of "Me Before You."
-
B.
After You, Who?
"After You, Who?" is a popular song by composer and lyricist Cole Porter, featured in the 1932 musical "Gay Divorce."
-
C.
Life After You
"Life After You" is a popular rock ballad by American singer Chris Daughtry, known for its emotional lyrics about heartbreak and moving on.
-
D.
Having You
Having You is a British romantic drama film centered on the emotional upheaval that follows a man's unexpected reunion with a former lover who reveals he has a young son.
-
E.
Ever After
Ever After is a 1998 romantic drama film that offers a grounded, feminist retelling of the Cinderella fairy tale, starring Drew Barrymore and set in Renaissance-era France.
- 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: After You Triple: [Treat Myself, hasPart, After You]
Generated description
"After You" is a song by Meghan Trainor from her album "Treat Myself."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: After You Target entity description: "After You" is a song by Meghan Trainor from her album "Treat Myself."
-
A.
After You (novel)
"After You" is a contemporary romantic drama novel by Jojo Moyes that continues the emotional story of Louisa Clark as she struggles to rebuild her life after the events of "Me Before You."
-
B.
After You, Who?
"After You, Who?" is a popular song by composer and lyricist Cole Porter, featured in the 1932 musical "Gay Divorce."
-
C.
Life After You
"Life After You" is a popular rock ballad by American singer Chris Daughtry, known for its emotional lyrics about heartbreak and moving on.
-
D.
Having You
Having You is a British romantic drama film centered on the emotional upheaval that follows a man's unexpected reunion with a former lover who reveals he has a young son.
-
E.
Ever After
Ever After is a 1998 romantic drama film that offers a grounded, feminist retelling of the Cinderella fairy tale, starring Drew Barrymore and set in Renaissance-era France.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ef5fc8819089e3f97a63a52f86 |
completed | April 20, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883fb46d081909ac630cf1dca232a |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a0885ad2b0c8190970ea6631d2d06be |
completed | May 16, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08862f9da481909b2d7bf2f27522cc |
completed | May 16, 2026, 2:58 p.m. |
Created at: April 16, 2026, 11:31 a.m.