Triple

T18703521
Position Surface form Disambiguated ID Type / Status
Subject Bobby Vee E457311 entity
Predicate notableWork P4 FINISHED
Object Run to Him 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: Run to Him | Statement: [Bobby Vee, notableWork, Run to Him]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Run to Him
Context triple: [Bobby Vee, notableWork, Run to Him]
  • A. Run to Him chosen
    "Run to Him" is a pop song written by Jack Keller that became a hit in the early 1960s.
  • 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. 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.
  • D. 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.
  • 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.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671597ac819093dbb53553130f1e completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:49 a.m.