Triple

T16678570
Position Surface form Disambiguated ID Type / Status
Subject OnMyRadio E405277 entity
Predicate hasPart P35 FINISHED
Object DearJohn E798212 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: DearJohn | Statement: [OnMyRadio, hasPart, DearJohn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DearJohn
Context triple: [OnMyRadio, hasPart, DearJohn]
  • A. Dear John chosen
    "Dear John" is a six-minute country-pop ballad by Taylor Swift widely noted for its confessional lyrics about a toxic relationship and emotional manipulation.
  • B. Dear John
    Dear John is a romantic drama film based on Nicholas Sparks' novel, following the relationship between a soldier and a young woman whose love is tested by distance and time.
  • C. Dear John
    Dear John is an American sitcom that aired from 1988 to 1992, starring Judd Hirsch as a recently divorced man navigating single life and friendships in a New York City support group.
  • D. Dear John Letter
    "Dear John Letter" is a song from Whitney Houston's 2002 album "Just Whitney," reflecting themes of heartbreak and the end of a relationship.
  • E. Ask Elizabeth
    Ask Elizabeth is a self-help and advice book for teenage girls, offering guidance on issues like self-esteem, friendships, and body image.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6db3488190b56e13ddb69ef8f1 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3e2ddc8190a59108cdf001dac2 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.