Triple
T13673346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Places |
E327806
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Run to You
"Run to You" is a popular song best known as a 1984 rock single by Canadian singer-songwriter Bryan Adams from his album "Reckless."
|
E478606
|
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: Run to You | Statement: [Places, hasTrack, Run to You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Run to You Context triple: [Places, hasTrack, Run to You]
-
A.
Run to You
"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 You
"Run to You" is a 1984 rock song by Canadian singer-songwriter Bryan Adams, known for its driving guitar riff and status as one of his signature hits.
-
C.
Always Run to You
"Always Run to You" is a hard rock song by Bon Jovi from their 1985 album 7800° Fahrenheit.
-
D.
Run to Me
"Run to Me" is a 1972 soft rock ballad by the Bee Gees, known for its lush harmonies and heartfelt lyrics.
-
E.
Someone to Run With
Someone to Run With is a coming-of-age novel by Israeli author David Grossman that follows two teenagers navigating Jerusalem’s streets in a tense, emotionally charged search that intertwines innocence, danger, and self-discovery.
- 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: Run to You Triple: [Places, hasTrack, Run to You]
Generated description
"Run to You" is a popular song best known as a 1984 rock single by Canadian singer-songwriter Bryan Adams from his album "Reckless."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Run to You Target entity description: "Run to You" is a popular song best known as a 1984 rock single by Canadian singer-songwriter Bryan Adams from his album "Reckless."
-
A.
Run to You
"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 You
chosen
"Run to You" is a 1984 rock song by Canadian singer-songwriter Bryan Adams, known for its driving guitar riff and status as one of his signature hits.
-
C.
Always Run to You
"Always Run to You" is a hard rock song by Bon Jovi from their 1985 album 7800° Fahrenheit.
-
D.
Run to Me
"Run to Me" is a 1972 soft rock ballad by the Bee Gees, known for its lush harmonies and heartfelt lyrics.
-
E.
Someone to Run With
Someone to Run With is a coming-of-age novel by Israeli author David Grossman that follows two teenagers navigating Jerusalem’s streets in a tense, emotionally charged search that intertwines innocence, danger, and self-discovery.
- F. None of above.
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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b145fa081908521c103201f3afe |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78bd727048190a57a75294a9ab53d |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78c94da6c8190b9bc1d04cee19c3c |
completed | May 3, 2026, 5:57 p.m. |
Created at: April 9, 2026, 9:53 p.m.