Triple

T9098327
Position Surface form Disambiguated ID Type / Status
Subject Arsenic and Old Lace (play) E218085 entity
Predicate author P4 FINISHED
Object Joseph Kesselring E215297 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: Joseph Kesselring | Statement: [Arsenic and Old Lace (play), author, Joseph Kesselring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Kesselring
Context triple: [Arsenic and Old Lace (play), author, Joseph Kesselring]
  • A. Joseph Kesselring chosen
    Joseph Kesselring was an American playwright best known for writing the dark comedic stage play "Arsenic and Old Lace," which became a classic of 20th-century theater.
  • B. Hans Matheson
    Hans Matheson is a Scottish actor known for his roles in period dramas and literary adaptations in film and television.
  • C. Walter Schwab
    Walter Schwab is a person notable enough to be recognized as a significant bearer of the surname Schwab.
  • D. Walter Pick
    Walter Pick was the husband of Holocaust survivor Hannah Goslar, who was known for her close childhood friendship with Anne Frank.
  • E. Walter Tevis
    Walter Tevis was an American novelist best known for his psychologically rich stories of outsiders and games, including the novels that inspired "The Hustler," "The Color of Money," and "The Queen’s Gambit."
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc970f340881909f5551219f151acf completed April 1, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01824ee2081909cc5e6ae33fab2e5 completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:15 p.m.