Triple

T13855206
Position Surface form Disambiguated ID Type / Status
Subject Lady A E333045 entity
Predicate notableSingle P3283 FINISHED
Object I Run to You E1066844 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: I Run to You | Statement: [Lady A, notableSingle, I Run to You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Run to You
Context triple: [Lady A, notableSingle, I Run to You]
  • A. I Run to You chosen
    "I Run to You" is a hit country song by American group Lady A that blends themes of love and refuge with a polished, contemporary country-pop sound.
  • 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. 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.
  • D. Always Run to You
    "Always Run to You" is a hard rock song by Bon Jovi from their 1985 album 7800° Fahrenheit.
  • E. Run to Me
    "Run to Me" is a 1972 soft rock ballad by the Bee Gees, known for its lush harmonies and heartfelt lyrics.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02db9c9c81909bb2d2fbfb7394b1 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c70a59e8819090b750699993a107 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:14 p.m.