Triple

T13052095
Position Surface form Disambiguated ID Type / Status
Subject Mirror, Mirror (TOS episode) E327471 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: [Mirror, Mirror (TOS episode), storyBy, Jerome Bixby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerome Bixby
Context triple: [Mirror, Mirror (TOS episode), 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. Ronald Bixby
    Ronald Bixby, better known by his stage name Skip Young, was an American actor recognized for his roles in mid-20th-century film and television.
  • C. 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."
  • D. 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.
  • E. 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.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b98fa081908cfa92116799e874 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ead25b7c8190af2ccf26b44c2ea2 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 8:57 p.m.