Triple

T20449195
Position Surface form Disambiguated ID Type / Status
Subject Doing Time for Patsy Cline E501601 entity
Predicate writer P1360 FINISHED
Object Chris Kennedy 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: Chris Kennedy | Statement: [Doing Time for Patsy Cline, writer, Chris Kennedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Kennedy
Context triple: [Doing Time for Patsy Cline, writer, Chris Kennedy]
  • A. Chris Kennedy chosen
    Chris Kennedy is an Australian filmmaker best known for his work in independent cinema, including directing the feature film "Doing Time for Patsy Cline."
  • B. Justin Kennedy
    Justin Kennedy is an American lawyer and former Deutsche Bank executive best known as the son of former U.S. Supreme Court Justice Anthony Kennedy.
  • C. Ryan Kennedy
    Ryan Kennedy is a Canadian actor known for his roles in television series such as the crime drama "Tin Star."
  • D. Dom Kennedy
    Dom Kennedy is a Los Angeles-based hip-hop artist known for his laid-back West Coast sound and independent releases that have cultivated a strong underground following.
  • E. Tom Kennedy
    Tom Kennedy is an actor known for his role in the film "The Big House."
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfffae4819086c727f4143c2737 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.