Triple

T13627369
Position Surface form Disambiguated ID Type / Status
Subject Sue Bayliss E325619 entity
Predicate characterInPlay P12208 FINISHED
Object All My Sons E23660 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: All My Sons | Statement: [Sue Bayliss, characterInPlay, All My Sons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All My Sons
Context triple: [Sue Bayliss, characterInPlay, All My Sons]
  • A. All My Sons chosen
    All My Sons is a critically acclaimed 1947 stage play by Arthur Miller that explores themes of family, guilt, and moral responsibility in post-World War II America.
  • B. Death of a Salesman
    Death of a Salesman is a landmark American stage play that portrays the tragic downfall of aging salesman Willy Loman while critiquing the promises and failures of the American Dream.
  • C. Birth of a Salesman
    "Birth of a Salesman" is a humorous short story by P. G. Wodehouse set in his Blandings Castle universe.
  • D. Our Town
    Our Town is a classic 1940 American drama film adaptation of Thornton Wilder’s play, directed by Sam Wood and celebrated for its poignant portrayal of small-town life and universal human experiences.
  • E. Dry September
    "Dry September" is a short story by William Faulkner that explores racial tension, rumor, and mob violence in a small Southern town.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9c72c88190be3d7a3f2e96afbc completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa6a46881909d381d76d391f5b7 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:51 p.m.