Triple

T15335127
Position Surface form Disambiguated ID Type / Status
Subject Harry Kleiner E366644 entity
Predicate name P16 FINISHED
Object Harry Kleiner 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: Harry Kleiner | Statement: [Harry Kleiner, name, Harry Kleiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Kleiner
Context triple: [Harry Kleiner, name, Harry Kleiner]
  • A. Harry Kleiner chosen
    Harry Kleiner was an American screenwriter known for his work on notable films such as the crime thriller "Bullitt."
  • B. Arthur Klein
    Arthur Klein was the husband of pioneering psychoanalyst Melanie Klein, known primarily in relation to her life and work.
  • C. Herman Klein
    Herman Klein was a British music critic, vocal teacher, and writer known for his influential work on singing and opera in the late 19th and early 20th centuries.
  • D. Henry Kolker
    Henry Kolker was an American stage and film actor and director active in the early 20th century, known for his character roles in both silent and sound films.
  • E. Charles Klein
    Charles Klein was a prominent early 20th-century American playwright best known for his successful Broadway dramas and melodramas.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e03c5f081908e4d14dbdbc7f7a6 completed April 16, 2026, 1:40 a.m.
Created at: April 10, 2026, 3:17 a.m.