Triple

T21891891
Position Surface form Disambiguated ID Type / Status
Subject Alan Kirschenbaum E540570 entity
Predicate notableWork P4 FINISHED
Object Dear John 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: Dear John | Statement: [Alan Kirschenbaum, notableWork, Dear John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dear John
Context triple: [Alan Kirschenbaum, notableWork, Dear John]
  • A. Dear John chosen
    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.
  • B. Dear John
    "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.
  • C. 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.
  • 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. Dear Thomas
    Dear Thomas is a biographical drama film about the life and work of German writer and filmmaker Thomas Brasch.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc3727c8190b4d5d5a44aa2e55e completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:06 p.m.