Triple

T22936250
Position Surface form Disambiguated ID Type / Status
Subject Meredith Black E569590 entity
Predicate filmWriterOfWork P64760 FINISHED
Object Kyle Killen 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: Kyle Killen | Statement: [Meredith Black, filmWriterOfWork, Kyle Killen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyle Killen
Context triple: [Meredith Black, filmWriterOfWork, Kyle Killen]
  • A. Kyle Killen chosen
    Kyle Killen is an American screenwriter and television creator known for his emotionally driven, high-concept dramas such as the film "The Beaver" and the TV series "Awake."
  • B. Kevin Killen
    Kevin Killen is a renowned recording and mixing engineer best known for his work with artists such as U2, Peter Gabriel, and Kate Bush.
  • C. Jack Killifer
    Jack Killifer was an American film editor active during Hollywood’s classic studio era, known for his work on numerous Warner Bros. productions.
  • D. Ed Killian
    Ed Killian was a prominent early 20th-century Major League Baseball pitcher best known for his success with the Detroit Tigers, including leading their staff during their 1908 championship season.
  • E. Kevin Healey
    Kevin Healey is a television producer best known for creating and producing reality and prank-based series.
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1813608e48190922df7a5386dc391 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.