Triple

T9117813
Position Surface form Disambiguated ID Type / Status
Subject Whitney Houston discography E218766 entity
Predicate includesSingle P11236 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: [Whitney Houston discography, includesSingle, Run to You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Run to You
Context triple: [Whitney Houston discography, includesSingle, 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 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. Where You Gonna Run
    "Where You Gonna Run" is a reggae track by South African singer and activist Miriam Makeba, featured on her album "Mama Africa."
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a5e2ac8190b602ef0c77deb2fa completed April 1, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047baf5e48190aab0eb19908fabfc completed April 3, 2026, 11:05 p.m.
Created at: March 30, 2026, 7:17 p.m.