Triple
T4780603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Will Always Love You: The Best of Whitney Houston |
E106154
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Run to You |
E319126
|
NE FINISHED |
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: Run to You | Statement: [I Will Always Love You: The Best of Whitney Houston, hasPart, Run to You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Run to You Context triple: [I Will Always Love You: The Best of Whitney Houston, hasPart, Run to You]
-
A.
Run to You
chosen
"Run to You" is a 1993 power ballad by Whitney Houston, known for its emotional vocal performance and inclusion on The Bodyguard film soundtrack.
-
B.
Run to Me
"Run to Me" is a 1972 soft rock ballad by the Bee Gees, known for its lush harmonies and heartfelt lyrics.
-
C.
Runaway Love
"Runaway Love" is a socially conscious hip-hop song by Ludacris featuring Mary J. Blige that tells the stories of young girls facing abuse, neglect, and hardship.
-
D.
With You
"With You" is a song featured on the album "Unpredictable" by American R&B singer Jamie Foxx.
-
E.
Ride for You
"Ride for You" is an R&B ballad by the American girl group Danity Kane from their self-titled debut album, showcasing their harmonies and emotional vocal style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65aa577c81909ec1b94e47810169 |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43d371b081908142e6d66780e0f0 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:21 p.m.