Triple
T15354552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crazy Ex-Girlfriend (TV series music) |
E367139
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object |
You Do You
"You Do You" is a comedic musical number from the TV series Crazy Ex-Girlfriend that satirically celebrates self-centered individualism and superficial empowerment.
|
E1151581
|
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 Do You | Statement: [Crazy Ex-Girlfriend (TV series music), includes, You Do You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Do You Context triple: [Crazy Ex-Girlfriend (TV series music), includes, You Do You]
-
A.
You Do
"You Do" is a reflective, emotionally resonant song by singer-songwriter Aimee Mann featured on the soundtrack to the film Magnolia.
-
B.
What You Do to Me
"What You Do to Me" is a song featured on the album *Darkness and Light* by American singer-songwriter John Legend.
-
C.
Whatever You Do
"Whatever You Do" is a song featured on Brandi Carlile’s critically acclaimed album *By the Way, I Forgive You*.
-
D.
You Are You
"You Are You" is a song from the 1965 Broadway musical Flora the Red Menace, which marked Liza Minnelli’s Tony-winning debut.
-
E.
As You Are
As You Are is a 2016 coming-of-age drama film that explores the intense and complicated relationships among three teenagers in the 1990s.
- 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 Do You Triple: [Crazy Ex-Girlfriend (TV series music), includes, You Do You]
Generated description
"You Do You" is a comedic musical number from the TV series Crazy Ex-Girlfriend that satirically celebrates self-centered individualism and superficial empowerment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: You Do You Target entity description: "You Do You" is a comedic musical number from the TV series Crazy Ex-Girlfriend that satirically celebrates self-centered individualism and superficial empowerment.
-
A.
You Do
"You Do" is a reflective, emotionally resonant song by singer-songwriter Aimee Mann featured on the soundtrack to the film Magnolia.
-
B.
What You Do to Me
"What You Do to Me" is a song featured on the album *Darkness and Light* by American singer-songwriter John Legend.
-
C.
Whatever You Do
"Whatever You Do" is a song featured on Brandi Carlile’s critically acclaimed album *By the Way, I Forgive You*.
-
D.
You Are You
"You Are You" is a song from the 1965 Broadway musical Flora the Red Menace, which marked Liza Minnelli’s Tony-winning debut.
-
E.
As You Are
As You Are is a 2016 coming-of-age drama film that explores the intense and complicated relationships among three teenagers in the 1990s.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2a8e88819093e4b7479b2c80cd |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ff42d48190897e6653d2b4f8a4 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff036cf4c481909eaab72ee97fbf6c |
completed | May 9, 2026, 9:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff03d829d48190990412a84f4376dc |
completed | May 9, 2026, 9:52 a.m. |
Created at: April 10, 2026, 3:18 a.m.