Triple

T3623708
Position Surface form Disambiguated ID Type / Status
Subject Wyck Godfrey E76785 entity
Predicate notableWork P4 FINISHED
Object Dear John E230776 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: Dear John | Statement: [Wyck Godfrey, notableWork, Dear John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dear John
Context triple: [Wyck Godfrey, notableWork, Dear John]
  • A. Dear John chosen
    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.
  • B. 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.
  • C. Dear Boy
    "Dear Boy" is a song by the Indian musician Ram.
  • D. Here, My Dear
    "Here, My Dear" is a deeply personal 1978 soul album by Marvin Gaye, renowned for its raw, confessional exploration of his troubled marriage and divorce.
  • E. Dearest
    Dearest is a character appearing in the 1921 silent film adaptation of "Little Lord Fauntleroy."
  • 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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2bc79008190abe6900adcbda8de completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4332260cc8190964a15bfee0a3b61 completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.