Triple
T19872619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calling All Hearts |
E477555
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | What You Do to Me |
—
|
NE NERFINISHED |
How this triple was built (2 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: What You Do to Me | Statement: [Calling All Hearts, hasPart, What You Do to Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: What You Do to Me Context triple: [Calling All Hearts, hasPart, What You Do to Me]
-
A.
What You Do to Me
chosen
"What You Do to Me" is a song featured on the album *Darkness and Light* by American singer-songwriter John Legend.
-
B.
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.
-
C.
You Do It For Me
"You Do It For Me" is a song by American singer-songwriter Matt Morris, showcasing his soulful pop style and emotive vocal delivery.
-
D.
Do Me
"Do Me" is a popular Afrobeat and R&B-infused hit single by Nigerian music duo P-Square that significantly boosted their continental fame in the late 2000s.
-
E.
From Me to You
"From Me to You" is an early 1963 hit single by the Beatles that helped establish their popularity in the United Kingdom and marked a key step in their rise to international fame.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d826f88190be04188997952d1b |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:51 p.m.