Triple

T9794649
Position Surface form Disambiguated ID Type / Status
Subject It's a Good Life E237688 entity
Predicate storyBy P1955 FINISHED
Object Jerome Bixby E822275 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: Jerome Bixby | Statement: [It's a Good Life, storyBy, Jerome Bixby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerome Bixby
Context triple: [It's a Good Life, storyBy, Jerome Bixby]
  • A. Jerome Bixby chosen
    Jerome Bixby was an American science fiction writer and screenwriter best known for influential short stories and for contributions to classic series like Star Trek and The Twilight Zone.
  • B. Fred M. Wilcox
    Fred M. Wilcox was an American film director best known for the science fiction classic "Forbidden Planet" and the family film "Lassie Come Home."
  • C. Ken Olsen
    Ken Olsen was an American engineer and entrepreneur best known as the co-founder and longtime leader of Digital Equipment Corporation, a pioneering company in the minicomputer industry.
  • D. K. T. McFarland
    K. T. McFarland is an American foreign policy analyst and former government official who served in senior national security roles, including in the Trump administration.
  • E. Michael Bostick
    Michael Bostick is a film producer known for his work on major Hollywood comedies and family films, including the hit movie "Bruce Almighty."
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda347b6bc8190a99b7dec1650cd46 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc5118a481908a65d730f86c7723 completed April 5, 2026, 2:43 a.m.
Created at: March 30, 2026, 8:28 p.m.